{"id":789,"date":"2022-05-31T09:00:00","date_gmt":"2022-05-31T00:00:00","guid":{"rendered":"http:\/\/www.cns.atr.jp\/bri\/?page_id=789"},"modified":"2025-06-11T14:36:37","modified_gmt":"2025-06-11T05:36:37","slug":"conference-presentations","status":"publish","type":"page","link":"https:\/\/bicr.atr.jp\/bri\/en\/publications\/conference-presentations\/","title":{"rendered":"Conference Presentations"},"content":{"rendered":"<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda T. (2025\/04). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Training neuro-rehabilitation+ <em>KGAP+(Keihanna Global Acceleration Program Plus) DAY \u2013 Batch 12 DemoDay \u2013 <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Junge K. C., Noda T., Hughes J. (2025\/04). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Mod-VSA: A Modular Variable Stiffness Actuator for Multi-fingered Robotic Hands <em>8th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2025) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5e02\u539f \u6709\u751f\u5e0c\u3001\u9663\u5185 \u4f51\u3001\u87fb\u751f \u958b\u4eba\u3001\u68ee\u6751 \u54f2\u90ce\u3001\u5185\u90e8 \u82f1\u6cbb (2025\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30c6\u30ad\u30b9\u30c8\u751f\u6210\u306b\u304a\u3051\u308b\u6700\u5c0f\u30d9\u30a4\u30ba\u30ea\u30b9\u30af\u5fa9\u53f7\u306e\u7406\u8ad6\u7684\u306a\u7406\u89e3\u306b\u5411\u3051\u3066 <em>\u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c31\u56de\u5e74\u6b21\u5927\u4f1a \uff08NLP2025\uff09<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5ca1\u91ce \u5b8f\u7d00\u3001\u9ad8\u4e95 \u98db\u9ce5 (2025\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e8b\u8c61\u95a2\u9023\u8131\u540c\u671f\u306b\u3088\u308b\u30d1\u30ef\u30fc\u306e\u6642\u9593\u52fe\u914d\u3092\u7528\u3044\u305f\u904b\u52d5\u60f3\u50cf\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u8a13\u7df4\u306e\u691c\u8a0e <em>\u30e9\u30a4\u30d5\u30b5\u30dd\u30fc\u30c8\u5b66\u4f1a \u7b2c34\u56de\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4f50\u3005\u6728 \u82f1\u5922\u3001\u5409\u7530 \u5065\u4eba\u3001\u4e2d\u5ddd \u62d3\u6d77\u3001\u677e\u672c \u660e\u5927\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2025\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5065\u5e38\u4eba\u306b\u5bfe\u3059\u308b\u96fb\u6c17\u523a\u6fc0\u3092\u7528\u3044\u305f\u6b69\u884c\u5909\u5bb9\u306e\u691c\u8a3c -\u75bc\u75db\u6050\u6016\u306b\u7740\u76ee\u3057\u3066 <em>\u65e5\u672c\u7269\u7406\u7642\u6cd5\u5408\u540c\u5b66\u8853\u5927\u4f1a2025<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Tsuda A., Manalo E., Teramae T., Noda T. (2025\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Exploring the effects of goal focus on self-consciousness in assisted motor skill training <em>The Society for Personality and Social Psychology 25th Annual Convention (SPSP2025)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Shi J., Yagi S., Yamamori S., Morimoto J. (2025\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">LLM-guided zero-shot visual object navigation with building semantic map <em>2025 IEEE\/SICE International Symposium on System Integration (SII2025)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Mavsar M.,\u00a0Uchibe E.,\u00a0Morimoto J.,\u00a0Ude A. (2025\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks <em>2025 IEEE\/SICE International Symposium on System Integration (SII2025)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u539f \u745b\u5c06\u3001\u516b\u6728 \u8061\u660e\u3001\u5f8c\u85e4 \u7950\u6c70\u3001\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2024\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u95a2\u7bc0\u7570\u5e38\u691c\u77e5\u3068\u8010\u6545\u969c\u5411\u4e0a\u306e\u305f\u3081\u306e\u8003\u5bdf <em>\u7b2c25\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a (SI2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f (2024\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ea\u30cf\u30d3\u30ea\u3092\u9032\u5316\u3055\u305b\u308b\u30ed\u30dc\u30c3\u30c8\uff1a\u672a\u6765\u306e\u6b69\u884c\u652f\u63f4\u3092\u4f53\u611f\u3057\u3088\u3046 <em>\u4e2d\u9ad8\u6821\u751f\u306e\u305f\u3081\u306e\u30d2\u30e5\u30fc\u30de\u30f3\u30b5\u30a4\u30a8\u30f3\u30b9\u30fb\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30ab\u30d5\u30a7 2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5e02\u539f \u6709\u751f\u5e0c\u3001\u9663\u5185 \u4f51\u3001\u68ee\u6751 \u54f2\u90ce\u3001\u963f\u90e8 \u62f3\u4e4b\u3001\u87fb\u751f \u958b\u4eba\u3001\u5742\u672c \u5145\u751f\u3001\u5185\u90e8 \u82f1\u6cbb (2024\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u30a2\u30e9\u30a4\u30e1\u30f3\u30c8\u306b\u5bfe\u3059\u308b\u9811\u5065\u306a\u30c7\u30fc\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u624b\u6cd5 <em>\u7b2c27\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5bae\u672c \u8ce2\u6607\u3001\u8857\u9053 \u4e00\u7fd4\u3001\u5b89\u85e4 \u6f64\u4eba\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u91ce\u9593 \u6625\u751f (2024\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9774\u306e\u30a4\u30f3\u30bd\u30fc\u30eb\u306b\u5185\u8535\u3059\u308bMEMS\u89e6\u899a\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u8db3\u88cf\u53cd\u529b\u306e\u5206\u6790 <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u30b9\u30dd\u30fc\u30c4\u5de5\u5b66\u30fb\u30d2\u30e5\u30fc\u30de\u30f3\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u90e8\u9580\u8b1b\u6f14\u4f1a2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Mavsar M.,\u00a0Uchibe E.,\u00a0Morimoto J.,\u00a0Ude A. (2024\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks <em>The IEEE International Conference on Humanoids (Humanoids 2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2024\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8eab\u4f53\u306e\u904b\u52d5\u611f\u899a\u3092\u601d\u3044\u51fa\u3059\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3 <em>\u7b2c29\u56de\u65e5\u672c\u57fa\u790e\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda T. (2024\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Designed Variable Stiffness for Enhanced Sense of Agency: Shaping the Future of Adaptive Assistive Robotics <em>The 2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u85e4\u672c \u5b8f\u660e\u3001\u85e4\u7530 \u66a2\u4e00\u3001\u5e73\u677e \u4f51\u4e00\u3001\u9ad8\u4e95 \u98db\u9ce5\u3001\u5bae\u4e95 \u4e00\u90ce (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30a2\u30b7\u30b9\u30c8\u3068\u5de6\u53f3\u72ec\u7acb\u514d\u8377\u30a2\u30b7\u30b9\u30c8\u3092\u9023\u52d5\u3055\u305b\u305f\u6b69\u884c\u652f\u63f4\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\u3068\u8133\u5352\u4e2d\u5f8c\u7247\u9ebb\u75fa\u60a3\u80051\u4f8b\u3067\u306e\u6b69\u884c\u63a8\u9032\u529b\u306e\u8a55\u4fa1 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7a32\u9091 \u54f2\u4e5f\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u6751\u4e0a \u9065\u3001\u6d25\u7530 \u5f69\u4e43\u3001\u91ce\u7530 \u667a\u4e4b (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e0a\u80a2\u904b\u52d5\u652f\u63f4\u306b\u304a\u3051\u308b\u7269\u7406\u652f\u63f4\u3068VR\u30a4\u30ea\u30e5\u30fc\u30b8\u30e7\u30f3\u306e\u7d71\u5408 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6b66\u7530 \u7167\u3001\u5c71\u68ee \u8061\u3001\u516b\u6728 \u8061\u660e\u3001\u68ee\u672c \u6df3 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e2\u30b8\u30e5\u30e9\u30fc\u30ed\u30dc\u30c3\u30c8\u306b\u5411\u3051\u305f\u968e\u5c64\u7684\u306a\u65b9\u7b56\u69cb\u7bc9 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c \u6df3 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30b5\u30a4\u30dc\u30fc\u30b0AI\u3092\u7528\u3044\u305f\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u5b66\u7fd2 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6839\u5cb8 \u6d0b\u4f51\u3001\u9ad8\u6a4b \u5bb9\u5b50\u3001\u52a0\u8cc0\u8c37 \u840c\u91cc\u3001\u677e\u4e95 \u5e0c\u6b69\u3001\u76db\u7530 \u4e09\u83dc\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u85e4\u539f \u4fca\u4e4b (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u99c6\u52d5\u306e\u8db3\u95a2\u7bc0\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u6b69\u884c\u3068\u672b\u68a2\u795e\u7d4c\u96fb\u6c17\u523a\u6fc0\u306e\u7d44\u307f\u5408\u308f\u305b\u304c\u810a\u9ac4\u76f8\u53cd\u6027\u6291\u5236\u306b\u4e0e\u3048\u308b\u52b9\u679c <em>\u7b2c22\u56de\u2f47\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u2f24\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u65b0\u660e \u4fca\u82f1\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u9577\u8c37 \u516c\u9686\u3001\u91ce\u7530 \u667a\u4e4b (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u306e\u5e95\u80cc\u5c48\u30a2\u30b7\u30b9\u30c8\u3067\u88f8\u8db3\u6b69\u884c\u7372\u5f97\u3092\u76ee\u6307\u3057\u305f\u4e00\u4f8b <em>\u7b2c22\u56de\u2f47\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u2f24\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c71\u68ee \u8061 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4f4d\u76f8\u632f\u5e45\u65b9\u7a0b\u5f0f\u306e\u540c\u5b9a\u306b\u3088\u308b\u6a21\u5023\u5b66\u7fd2 <em>\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u5236\u5fa1\u7406\u8ad6\u82e5\u624b\u5408\u5bbf2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5bfa\u524d \u9054\u4e5f\u3001\u68ee \u516c\u5f66\u3001\u9593\u91ce \u76f4\u4eba\u3001\u8107\u7530 \u6b63\u5fb3\u3001\u4e2d\u689d \u96c4\u592a\u3001\u7530\u53e3 \u5468\u3001\u9577\u8c37 \u516c\u9686\u3001\u91ce\u7530 \u667a\u4e4b (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Seq2seq with attention model\u3092\u7528\u3044\u305f\u5782\u76f4\u8db3\u5727\u6210\u5206\u306b\u3088\u308b\u63a8\u9032\u529b\u6210\u5206\u306e\u63a8\u5b9a\uff5e\u65e5\u5e38\u7684\u306a\u6b69\u5bb9\u306e\u500b\u5225\u6027\u3092\u8003\u616e\u3057\u305f\u6b69\u5bb9\u89e3\u6790\u30b7\u30b9\u30c6\u30e0: Gait-Print System\u306e\u5b9f\u73fe\u306b\u5411\u3051\u3066\uff5e <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5409\u6751 \u67ca\u4eba\u3001\u4e2d\u6751 \u52c7\u6c17\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u4ef2\u7530 \u4f73\u5f18 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7d30\u5f84\u9577\u5c3a\u30c1\u30e5\u30fc\u30d6\u306e\u5909\u5f62\u3092\u8003\u616e\u3057\u305f\u6c34\u5727\u99c6\u52d5\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u306e\u9060\u9694\u4f4d\u7f6e\u5236\u5fa1\u624b\u6cd5\u306e\u63d0\u6848\u3068\u8a55\u4fa1 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5409\u6751 \u592a\u8fb0\u3001\u4e0b\u5c71 \u62d3\u771f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u4ef2\u7530 \u4f73\u5f18 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9ad8\u901f\u5916\u4e71\u306b\u5bfe\u3059\u308b\u4e00\u4f53\u69cb\u9020\u7a7a\u96fb\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u30ea\u30cb\u30a2\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u306e\u62b5\u6297\u529b\u306e\u8a55\u4fa1\u3068\u88dc\u511f <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u516b\u6728 \u8061\u660e\u3001\u591a\u7530 \u5145\u5fb3\u3001\u5185\u90e8 \u82f1\u6cbb\u3001\u53f6\u8cc0 \u5353\u3001\u677e\u539f \u5d07\u5145\u3001\u68ee\u672c \u6df3 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6559\u5e2b\u7121\u3057\u5b66\u7fd2\u3092\u7528\u3044\u305f\u52d5\u4f5c\u30ea\u30bf\u30fc\u30b2\u30c3\u30c8\u306b\u3088\u308b\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30c6\u30ec\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3 <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4e0b\u5c71 \u62d3\u771f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u4ef2\u7530 \u4f73\u5f18 (2024\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u7528\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6297\u91cd\u529b\u4e0b\u30a2\u30b7\u30b9\u30c8\u4e2d\u306e\u80a9\u95a2\u7bc0\u30a4\u30f3\u30d4\u30fc\u30c0\u30f3\u30b9\u8a08\u6e2c\u306e\u53ef\u80fd\u6027\u306e\u691c\u8a0e-\u7a7a\u96fb\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u306b\u3088\u308b\u4e0a\u80a2\u91cd\u91cf\u88dc\u511f\u3068\u6442\u52d5\u5370\u52a0\u306e\u4e21\u7acb- <em>\u7b2c42\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2024\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u500b\u5225\u6027\u306b\u9069\u5fdc\u3059\u308b\u30a2\u30b7\u30b9\u30c8\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306eAI\u30fb\u30ed\u30dc\u30c3\u30c8\u306e\u7814\u7a76\u958b\u767a <em>\u6771\u4eac\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u30fb\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u6280\u8853\u7814\u7a76\u7d44\u5408\u7b2c12\u56de\u7814\u7a76\u4ea4\u6d41\u30d5\u30a9\u30fc\u30e9\u30e0<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Wang J., Uchibe E. (2024\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Reward-punishment reinforcement learning with maximum entropy <em>International Joint Conference on Neural Networks (IJCNN 2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Nakata Y., Noda T. (2024\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Fusion hybrid linear actuator:concept and disturbance resistance evaluation <em>2024 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics (AIM)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Inamura T., Murakami H., Wen W., Okabe T., Suzuki M., Yamamoto J., Teramae T., Hirata Y., Kubota N., Noda T. (2024\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Enhancing Self Efficacy through Integrated Physical Robotics and Virtual Success Illusions: Implementation and Discussion from an Ethical Perspective <em>International Conference on Robot Ethics and Standards (ICRES 2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u85e4\u672c \u5b8f\u660e\u3001\u85e4\u7530 \u66a2\u4e00\u3001\u5e73\u677e \u4f51\u4e00\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5bae\u4e95 \u4e00\u90ce (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5de6\u53f3\u72ec\u7acb\u514d\u8377\u88c5\u7f6e\u304a\u3088\u3073\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u306e\u7247\u9ebb\u75fa\u6b69\u884c\u306b\u5bfe\u3059\u308b\u4f75\u7528\u52b9\u679c.\u75c7\u4f8b\u5831\u544a <em>\u7b2c61\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7af9\u4e2d \u90c1\u5f25\u3001\u5c71\u68ee \u8061\u3001\u68ee\u7530 \u5149\u7d00\u3001\u516b\u6728 \u8061\u660e\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e16\u754c\u30e2\u30c7\u30eb\u5b66\u7fd2\u3068\u305d\u308c\u3092\u7528\u3044\u305f\u30e2\u30c7\u30eb\u4e88\u6e2c\u5236\u5fa1\u306e\u5b9f\u6642\u9593\u30fb\u5b9f\u74b0\u5883\u5fdc\u7528\u306b\u5411\u3051\u305f\u691c\u8a0e <em>\u7b2c54\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a (IBISML) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u77f3\u6d25 \u6566\u5f25\u3001\u5c71\u68ee \u8061\u3001\u516b\u6728 \u8061\u660e\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e16\u754c\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u7570\u306a\u308b\u8996\u70b9\u304b\u3089\u306e\u72b6\u614b\u63a8\u5b9a\u306b\u3064\u3044\u3066\u306e\u691c\u8a0e <em>\u7b2c54\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a (IBISML) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7532\u6590 \u821c\u4e5f\u3001\u516b\u6728 \u8061\u660e\u3001\u5f8c\u85e4 \u7950\u6c70\u3001\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u968e\u5c64\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u56db\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u7570\u306a\u308b\u5e8a\u74b0\u5883\u306b\u5bfe\u3059\u308b\u6b69\u884c\u65b9\u7b56\u9069\u5fdc <em>\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a (NC) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c0f\u5e61 \u5cac\u3001\u516b\u6728 \u8061\u660e\u3001\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u52d5\u7684\u306a\u975e\u5354\u529b\u30b2\u30fc\u30e0\u3068\u3057\u3066\u306e\u8907\u6570\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u7d4c\u8def\u63a2\u7d22\u554f\u984c\u306e\u691c\u8a0e <em>\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a (NC) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c0f\u4f5c \u8cb4\u53f8\u3001\u5c71\u68ee \u8061\u3001\u516b\u6728 \u8061\u660e\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30de\u30eb\u30c1\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u6a21\u5023\u5b66\u7fd2\u306b\u5411\u3051\u305f\u5f79\u5272\u63a8\u5b9a\u3068\u52d5\u4f5c\u6a21\u5023\u306b\u95a2\u3059\u308b\u8003\u5bdf <em>\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a (NC) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u53e4\u5dfb \u9244\u5e73\u3001\u516b\u6728 \u8061\u660e\u3001\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e8b\u524d\u65b9\u7b56\u5b66\u7fd2\u306b\u3088\u308b\u4f4e\u6b21\u5143\u884c\u52d5\u7a7a\u9593\u62bd\u51fa\u3068\u5b9f\u74b0\u5883\u306b\u304a\u3051\u308b\u7269\u4f53\u64cd\u308a\u52d5\u4f5c\u7372\u5f97 <em>\u7b2c54\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a (IBISML) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4e45\u4fdd\u7530 \u76f4\u884c\u3001\u5927\u4e45\u4fdd \u6b66\u6176\u3001\u5c71\u672c \u6df3\u4e00\u3001\u5ca1\u90e8 \u5eb7\u5e73\u3001\u52a0\u85e4 \u5065\u6cbb\u3001\u5e73\u7530 \u6cf0\u4e45\u3001\u7a32\u9091 \u54f2\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u6c60\u7530 \u548c\u53f8 (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6210\u529f\u3068\u5931\u6557\u304b\u3089\u8003\u3048\u308b\u7d99\u7d9a\u5b66\u7fd2 <em>\u7b2c7\u56de\u7d99\u7d9a\u5b66\u7fd2\u3068\u77e5\u80fd\u306e\u5275\u767a\u7814\u7a76\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda T., Teramae T. (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Enhancing Tailor-made Neurorehabilitation with Compliant AI-driven Exoskeletons <em>International Symposium on Robotics for Humanity and Healthcare: Linking Italy and Japan in view of Expo 2025 Osaka<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Jabbari\u00a0Asl H.,\u00a0Uchibe E. (2024\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An inverse optimal control solution for nonlinear systems <em>11th International Conference of Control, Dynamic Systems, and Robotics (CDSR 2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4e0b\u5c71 \u62d3\u771f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u4ef2\u7530 \u4f73\u5f18 (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30a2\u30b7\u30b9\u30c8\u6642\u306e\u52d5\u7684\u900f\u660e\u6027\u3092\u5b9f\u73fe\u3059\u308b\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u306b\u5411\u3051\u305f\u80fd\u52d5\u95a2\u7bc0\u306e\u7814\u7a76\u958b\u767a <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Yoshimura S., Nakamura Y., Noda T., Nakata Y. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Remote Position Control of Hydraulically Driven Actuator Via Water Transmission in a Thin and Long Tube <em>2024 IEEE International Conference on Robotics and Automation (ICRA2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe E. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Human-in-the-loop policy learning by co-evolution of Human and generative imitation learning <em>ICRA 2024 Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Shimoyama, T., Noda, T., Teramae, T., Nakata, Y. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Achieving Mechanical Transparency Using Fusion Hybrid Linear Actuator for Shoulder Flexion and Extension in Exoskeleton Robot <em>2024 IEEE International Conference on Robotics and Automation (ICRA2024)<\/em>https:\/\/doi.org\/10.1109\/ICRA57147.2024.10611131<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Shimoyama T., Teramae T., Nakata Y., Noda T. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Feedforward Macro-Mini Dynamics Compensation Toward Dynamically Transparent Exoskeletons <em>2024 IEEE International Conference on Robotics and Automation (ICRA2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda T., Shimoyama T., Teramae T., Nakata Y. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Demonstration of Upper-extremity Exoskeleton Driven by Fusion Hybrid Linear Actuator <em>2024 IEEE International Conference on Robotics and Automation (ICRA2024) Expo<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Nakamura Y., Noda T., Yoshimura S., Nakata Y. (2024\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Remote Control of a Water Hydraulically Driven Robot through Thin and Long 20 M Tubes <em>2024 IEEE International Conference on Robotics and Automation (ICRA2024) Expo<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5 (2024\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u904b\u52d5\u5b66\u7fd2\u3084\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u652f\u63f4\u306b\u5411\u3051\u305f\u30ed\u30dc\u30c3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u306e\u7814\u7a76 <em>2023\u5e74\u5ea6\u65e5\u672c\u4eba\u9593\u5de5\u5b66\u4f1a\u95a2\u897f\u652f\u90e8 \u6625\u5b63\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2024\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u75c5\u6c17\u306b\u306a\u308b\u524d\u306e\u6b69\u884c\u3092\u601d\u3044\u51fa\u3059\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8 <em>\u4e2d\u5b66\u751f\u30fb\u9ad8\u6821\u751f\u306e\u305f\u3081\u306e\u30d2\u30e5\u30fc\u30de\u30f3\u30b5\u30a4\u30a8\u30f3\u30b9\u30fb\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30ab\u30d5\u30a7<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda T., Asai H., Tsuda A. (2024\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Can robot assist user transparently?&#8211; Development of neurorehabilitation and assistive AI\/robot <em>JST-Monitoring Technology for Life Logging and Digital Twin Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ichihara Y., Uchibe E. (2024\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Towards robust reinforcement learning algorithms for nominal environments <em>The Machine Learning Summer School in Okinawa 2024 (MLSS2024)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4eba\u306e\u8eab\u4f53\u3068\u878d\u548c\u3059\u308b\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u30ed\u30dc\u30c3\u30c8\u306e\u7814\u7a76\u958b\u767a <em>\u4e5d\u5dde\u5de5\u696d\u5927\u5b662023\u5e74\u5ea6\u300c\u751f\u547d\u4f53\u5de5\u5b66\u30bb\u30df\u30ca\u30fc\u300d<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u5ea6\u5316\u3059\u308b\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u30fb\u30a2\u30b7\u30b9\u30c8\u6280\u8853\u306e\u7814\u7a76\u958b\u767a <em>\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662\u751f\u547d\u4f53\u5de5\u5b66\u7814\u7a76\u79d12023\u5e74\u5ea6\u300cAAR\u30bb\u30df\u30ca\u30fc\u300d<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7027\u53e3 \u8ff0\u5f18\u3001\u65b0\u660e \u4fca\u82f1\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u4e00\u75c7\u4f8b\u306b\u5bfe\u3059\u308b\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6b69\u884c\u7df4\u7fd2\u306e\u691c\u8a3c \u5e8a\u53cd\u529b\u8a08\u3068\u7b4b\u96fb\u56f3\u3092\u7528\u3044\u3066 <em>\u65e5\u672c\u7269\u7406\u7642\u6cd5\u5408\u540c\u5b66\u8853\u5927\u4f1a2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c0f\u539f \u8ad2\u4eba\u3001\u9ad8\u6a4b \u5bb9\u5b50\u3001\u767d\u7530 \u611b\u5b9f\u3001\u85e4\u8218 \u552f\u3001\u5409\u7530 \u5c06\u592a\u6717\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u85e4\u539f \u4fca\u4e4b (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u4e2d\u306b\u304a\u3051\u308bminimum toe clearance\u306e\u691c\u8a0e <em>\u65e5\u672c\u7269\u7406\u7642\u6cd5\u5408\u540c\u5b66\u8853\u5927\u4f1a2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takeda S., Yamamori S., Yagi S., Morimoto J. (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An Empirical Evaluation of A Hierarchical Reinforcement Learning Method towards Modular Robot Control <em>AROB-ISBC-SWARM 2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara E., Yagi S., Goto Y., Yamamori S., Morimoto J. (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Improvement of Fault Tolerance of Quadruped Robots by Detecting Correlation Anomalies in Sensor Signals <em>AROB-ISBC-SWARM 2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c0f\u539f \u8ad2\u4eba\u3001\u9ad8\u6a4b \u5bb9\u5b50\u3001\u767d\u7530 \u611b\u5b9f\u3001\u85e4\u8218 \u552f\u3001\u5409\u7530 \u5c06\u592a\u6717\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u85e4\u539f \u4fca\u4e4b (2024\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u4e2d\u306b\u304a\u3051\u308bminimum toe clearance\u306e\u691c\u8a0e <em>\u65e5\u672c\u7269\u7406\u7642\u6cd5\u5408\u540c\u5b66\u8853\u5927\u4f1a2024<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4ef2\u7530 \u4f73\u5f18\u3001\u91ce\u7530 \u667a\u4e4b (2023\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5de7\u307f\u306a\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30b7\u30e7\u30f3\u306e\u5b9f\u73fe\u306b\u5411\u3051\u305f\u878d\u5408\u578b\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u306e\u7814\u7a76\u958b\u767a <em>\u96fb\u6c17\u5b66\u4f1a D\u90e8\u9580 \u7523\u696d\u8a08\u6e2c\u5236\u5fa1\u7814\u7a76\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Role of Robotics and Artificial Intelligence toward Enhanced Neurorehabilitation <em>2023\u5e74\u5ea6\uff112\u6708\u95a2\u897f\u533b\u79d1\u5927\u7267\u91ceCP\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u5de5\u5b66\u7279\u5225\u8b1b\u7fa9<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">VR\u30fb\u30ed\u30dc\u30c3\u30c8\u7d71\u5408\u578b\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u30fb\u751f\u6d3b\u8a13\u7df4\u30b7\u30b9\u30c6\u30e0 <em>\u6d3b\u529b\u3042\u308b\u793e\u4f1a\u3092\u5275\u308b\u9069\u5fdc\u81ea\u5728AI\u30ed\u30dc\u30c3\u30c8\u7fa4\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7247\u5ca1 \u60a0\u3001\u5409\u5ca1 \u5229\u798f\u3001\u9ad8\u4e95 \u98db\u9ce5 (2023\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u77e5\u899a\u80fd\u529b\u3092\u8003\u616e\u3057\u305f\u529b\u899a\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u306b\u3088\u308b\u904b\u52d5\u6559\u793a\u5b66\u7fd2\u6642\u306e\u8133\u6ce2\u3068\u904b\u52d5\u5b66\u7fd2\u52b9\u679c\u306e\u95a2\u4fc2\u306b\u95a2\u3059\u308b\u7814\u7a76 <em>\u7b2c10\u56de\u65e5\u672cBMI\u7814\u7a76\u4f1a<\/em><\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u5bae \u5149\u7167\u3001\u9ad8\u4e95 \u98db\u9ce5 (2023\/11). <\/strong><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\u3092\u7528\u3044\u305f\u9045\u5ef6\u8996\u899a\u304c\u7684\u3042\u3066\u30b2\u30fc\u30e0\u306e\u6210\u7e3e\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u306b\u95a2\u3059\u308b\u7814\u7a76 <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff1a\u30b9\u30dd\u30fc\u30c4\u5de5\u5b66\u30fb\u30d2\u30e5\u30fc\u30de\u30f3\u30c0\u30a4\u30ca\u30df\u30af\u30b92023<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4f0a\u85e4 \u5927\u5c06\u3001\u798f\u7530 \u68ee\u3001\u7d30\u4e95 \u96c4\u4e00\u90ce\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5ddd\u4e0a \u9014\u884c (2023\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e0a\u80a2\u6319\u4e0a\u904b\u52d5\u3092\u30a2\u30b7\u30b9\u30c8\u3059\u308b\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u3063\u3066\u6a5f\u80fd\u6539\u5584\u3092\u8a8d\u3081\u305f\uff11\u4f8b <em>\u7b2c57\u56de\u65e5\u672c\u4f5c\u696d\u7642\u6cd5\u5b66\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7d30\u4e95 \u96c4\u4e00\u90ce\u3001\u7d19\u672c \u8cb4\u4e4b\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u6cb3\u53e3 \u5927\u6d0b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u5c71\u7530 \u7950\u6b4c\u3001\u8fbb \u54f2\u4e5f\u3001\u5ddd\u4e0a \u9014\u884c (2023\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7570\u306a\u308b\u7570\u5e38\u6b69\u884c\u3092\u5448\u3057\u305f\u5c0f\u5150\u8133\u5352\u4e2d\u60a3\u8005\u4e8c\u4f8b\u306b\u5bfe\u3059\u308b\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u3092\u7528\u3044\u305f\u30ed\u30dc\u30c3\u30c8\u6b69\u884c\u7df4\u7fd2\u306e\u5b89\u5168\u6027\u3068\u6709\u52b9\u6027\u306b\u95a2\u3059\u308b\u4e88\u5099\u7684\u691c\u8a3c <em>\u7b2c53\u56de\u65e5\u672c\u81e8\u5e8a\u795e\u7d4c\u751f\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Otomori N., Takai A. (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Long short-term memory (LSTM) estimation of chair reaction force during sit-to-stand movements <em>The 23rd International Conference on Control, Automation and Systems (ICCAS 2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u52b9\u7387\u5316\u306b\u5411\u3051\u305f\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u5f79\u5272\u3000<em>\u6771\u5317\u5927\u5b66\u300c\u65e5\u672c\u306e\u7523\u696d\u3068\u79d1\u5b66\u6280\u8853\u300d\u7279\u5225\u8b1b\u7fa9<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u89d2\u7530 \u65e5\u7dad\u3001\u516b\u6728 \u8061\u660e\u3001\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u591a\u69d8\u306a\u52d5\u4f5c\u901f\u5ea6\u3092\u542b\u3080\u30a8\u30ad\u30b9\u30d1\u30fc\u30c8\u30c7\u30fc\u30bf\u304b\u3089\u306e\u884c\u52d5\u30af\u30ed\u30fc\u30cb\u30f3\u30b0 <em>\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u7530 \u5149\u7d00\u3001\u5c71\u68ee \u8061\u3001\u516b\u6728 \u8061\u660e\u3001\u6749\u672c \u5fb3\u548c\u3001\u68ee\u672c \u6df3 (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u76ee\u7684\u6761\u4ef6\u4ed8\u3051\u7d42\u7aef\u4fa1\u5024\u63a8\u5b9a\u3068\u305d\u308c\u3092\u7528\u3044\u305f\u30e2\u30c7\u30eb\u4e88\u6e2c\u5236\u5fa1 <em>\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5f8c\u85e4 \u7950\u6c70\u3001\u5c71\u68ee \u8061\u3001\u516b\u6728 \u8061\u660e\u3001\u68ee\u672c \u6df3 (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d1\u30e9\u30e1\u30fc\u30bf\u7a7a\u9593\u3067\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u6df7\u5408\u3092\u7528\u3044\u305f\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u6c4e\u5316\u65b9\u7b56\u7fa4\u306e\u7372\u5f97 <em>\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5e02\u539f \u6709\u751f\u5e0c, \u5185\u90e8 \u82f1\u6cbb (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ce\u30df\u30ca\u30eb\u306a\u74b0\u5883\u306b\u5bfe\u3057\u3066\u30ed\u30d0\u30b9\u30c8\u306a\u5f37\u5316\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u63d0\u6848 <em>\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5c71\u68ee \u8061\u3001\u68ee\u672c \u6df3 (2023\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6697\u9ed9\u7684\u30de\u30eb\u30c1\u30bf\u30b9\u30afRL\u306e\u305f\u3081\u306e\u65b9\u7b56\u9069\u5408 <em>\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7a7a\u9593\u79fb\u52d5\u578b\u514d\u8377\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u306b\u3088\u308b\u4f53\u91cd\u514d\u8377\u6280\u8853\u306e\u958b\u767a <em>\u7b2c41\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c \u6df3 (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30b5\u30a4\u30dc\u30fc\u30b0AI\u306e\u7814\u7a76\u958b\u767a <em>\u7b2c41\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u65b9\u7b56\u306e\u7a4d\u306b\u3088\u308b\u5831\u916c\u3068\u7f70\u304b\u3089\u306e\u4e26\u5217\u5f37\u5316\u5b66\u7fd2 <em>\u7b2c33\u56de \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a \u30b5\u30c6\u30e9\u30a4\u30c8\u4f01\u753b\u30fb\u5168\u56fd\u5927\u4f1a (JNNS2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5f37\u5316\u5b66\u7fd2\u306e\u3053\u308c\u307e\u3067\u3068\u3053\u308c\u304b\u3089 <em>\u5927\u962a\u516c\u7acb\u5927\u5b66\u7523\u5b98\u5b66\u5171\u540c\u7814\u7a76\u4f1a \u7b2c138\u56de\u30c6\u30af\u30ce\u30e9\u30dc\u30c4\u30a2\u30fc<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u504f\u308a\u306e\u3042\u308b\u30a8\u30ad\u30b9\u30d1\u30fc\u30c8\u30c7\u30fc\u30bf\u304b\u3089\u5b66\u7fd2\u3059\u308b\u751f\u6210\u6a21\u5023\u5b66\u7fd2\u306e\u591a\u91cd\u5316 <em>\u7b2c41\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: helvetica;\">\u6b69\u884c\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u6697\u9ed9\u77e5\u3092\u30c7\u30b8\u30bf\u30eb\u5316\u3059\u308b\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u306e\u7814\u7a76\u958b\u767a <em>\u7b2c41\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30dc\u30c3\u30c8\u306e\u8eab\u4f53\u62e1\u5f35\u3067\u904b\u52d5\u611f\u899a\u3092\u601d\u3044\u51fa\u3059\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3 <em>\u7b2c21\u56de\u65e5\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a \u516c\u52df\u578b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (JSNPT2023) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u52b9\u7387\u5316\u3059\u308bAI\u30fb\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a <em>\u7b2c5\u56de\u65e5\u672c\u518d\u751f\u533b\u7642\u3068\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0Python\u30e2\u30b8\u30e5\u30fc\u30ebPyxeno\u306b\u3088\u308b\u30a2\u30b7\u30b9\u30c8\u30ed\u30dc\u30c3\u30c8\u306e\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u958b\u767a \uff5e\u30b7\u30b9\u30c6\u30e0\u69cb\u7bc9\u304b\u3089\u81e8\u5e8a\u5c0e\u5165\u307e\u3067\uff5e <em>\u7b2c41\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u65b0\u660e \u4fca\u82f1\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2023\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u7247\u9ebb\u75fa\u60a3\u8005\u4e00\u4f8b\u306b\u304a\u3044\u3066\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u4f7f\u7528\u3057\u305f\u9ad8\u901f\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u306e\u691c\u8a3c<br \/>\n<em>\u7b2c21\u56de\u65e5\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">VR\u30fb\u30ed\u30dc\u30c3\u30c8\u7d71\u5408\u578b\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u30fb\u751f\u6d3b\u8a13\u7df4\u30b7\u30b9\u30c6\u30e0 <em>\u6d3b\u529b\u3042\u308b\u793e\u4f1a\u3092\u5275\u308b\u9069\u5fdc\u81ea\u5728AI\u30ed\u30dc\u30c3\u30c8\u7fa4\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai A. (2023\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Advancing personalized motor rehabilitation: insights from human-human and human-robot interaction <em>Japan-America Frontiers of Engineering Symposium (JAFOE 2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u65b9\u7b56\u3068\u30e2\u30c7\u30eb\u306e\u30a8\u30f3\u30c8\u30ed\u30d4\u6b63\u5247\u3092\u5c0e\u5165\u3057\u305f\u30aa\u30d5\u30e9\u30a4\u30f3\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u6a21\u5023\u5b66\u7fd2 <em>\u7b2c37\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a (JSAI2023)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4eba\u3068\u751f\u6210\u7684\u6a21\u5023\u5b66\u7fd2\u306e\u5171\u9032\u5316\u306b\u3088\u308b\u4eba\u9593\u53c2\u52a0\u578b\u30ed\u30dc\u30c3\u30c8\u5b66\u7fd2\u30b7\u30b9\u30c6\u30e0 <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2023<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u65b0\u660e \u4fca\u82f1\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u85e4\u5cf6 \u5f18\u6a39\u3001\u5e73\u91ce \u4f51\u5178\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30dc\u30c3\u30c8\u30a2\u30b7\u30b9\u30c8\u3092\u52a0\u3048\u305f\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u6b69\u884c\u7df4\u7fd2\u306b\u3088\u308a\u5e73\u5730\u6b69\u884c\u901f\u5ea6\u304c\u5411\u4e0a\u3057\u305f\u4e00\u4f8b <em>\u7b2c60\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6851\u539f \u5d69\u5e78\u3001\u68ee \u516c\u5f66\u3001\u4e45\u4fdd \u5cf0\u9cf4\u3001\u9593\u91ce \u76f4\u4eba\u3001\u4e2d\u689d \u96c4\u592a\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7247\u9ebb\u75fa\u6b69\u884c\u306e\u7acb\u811a\u671f\u5f8c\u534a\u306b\u304a\u3051\u308b\u5236\u52d5\u529b\u304c\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u5e95\u5c48\u30a2\u30b7\u30b9\u30c8\u306e\u30bf\u30a4\u30df\u30f3\u30b0\u8a2d\u5b9a\u306b\u53ca\u307c\u3059\u5f71\u97ff <em>\u7b2c60\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee \u516c\u5f66\u3001\u6851\u539f \u5d69\u5e78\u3001\u8107\u7530 \u6b63\u5fb3\u3001\u9593\u91ce \u76f4\u4eba\u3001\u4e45\u4fdd \u5cf0\u9cf4\u3001\u4e2d\u689d \u96c4\u592a\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u5e95\u5c48\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304c\u7247\u9ebb\u75fa\u8005\u306e\u5185\u89b3\u3084\u9ebb\u75fa\u80a2\u63a8\u9032\u529b\u306b\u53ca\u307c\u3059\u5f71\u97ff <em>\u7b2c60\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8eab\u4f53\u3092\u3057\u306a\u3084\u304b\u3055\u306b\u30a2\u30b7\u30b9\u30c8\u3059\u308b\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u6280\u8853 <em>\u96fb\u6c17\u5b66\u4f1aD\u90e8\u9580\u300c\u5de7\u307f\u306a\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30b7\u30e7\u30f3\u6280\u8853\u306b\u95a2\u3059\u308b\u8abf\u67fb\u5c02\u9580\u59d4\u54e1\u4f1a\u300d \u7b2c1\u56de\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30b7\u30e7\u30f3\u59d4\u54e1\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u9ad8\u4e95 \u98db\u9ce5 (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u5ea6\u5316\u3059\u308b\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u30fbAI\u306e\u958b\u767a <em>\u7b2c48\u56de\u65e5\u672c\u904b\u52d5\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6851\u539f \u5d69\u5e78\u3001\u68ee \u516c\u5f66\u3001\u9593\u91ce \u76f4\u4eba\u3001\u4e2d\u689d \u96c4\u592a\u3001\u4e45\u4fdd \u5cf0\u9cf4\u3001\u8107\u7530 \u6b63\u5fb3\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u7df4\u7fd2\u306b\u304a\u3044\u3066\u9ebb\u75fa\u5074\u5e8a\u53cd\u529b\u306e\u7279\u5fb4\u3092\u7528\u3044\u305f\u5e95\u5c48\u30a2\u30b7\u30b9\u30c8\u30bf\u30a4\u30df\u30f3\u30b0\u306e\u691c\u8a0e <em>\u7b2c48\u56de\u65e5\u672c\u904b\u52d5\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u65b0\u660e \u4fca\u82f1\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u5742\u672c \u7d62\u7f8e\u3001\u5927\u524d \u9ebb\u5e0c\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2023\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u4e00\u75c7\u4f8b\u306b\u5bfe\u3057\u3066\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u5e95\u5c48\u30a2\u30b7\u30b9\u30c8\u304c\u4e21\u811a\u652f\u6301\u671f\u3001\u5358\u811a\u652f\u6301\u671f\u306b\u4e0e\u3048\u308b\u5f71\u97ff <em>\u7b2c48\u56de\u65e5\u672c\u904b\u52d5\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5 (2023\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u73fe\u5728\u306e\u30ea\u30cf\u30d3\u30ea\u30ed\u30dc\u30c3\u30c8\u306b\u95a2\u3059\u308b\u8ab2\u984c\u3068\u63d0\u6848 <em>\u5927\u962a\u516c\u7acb\u5927\u5b66\u7b2c11\u56de\u533b\u5de5\u9023\u643aWEBINAR<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u962a\u53e3 \u90fd\u96f2\u3001\u9ad8\u4e95 \u98db\u9ce5\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u5ddd\u5408 \u5fe0\u96c4 (2023\/03). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u810a\u9ac4\u640d\u50b7\u8005\u306e\u30d7\u30c3\u30b7\u30e5\u30a2\u30c3\u30d7\u52d5\u4f5c\u3092\u30a2\u30b7\u30b9\u30c8\u3059\u308b\u6a5f\u5668\u306e\u99c6\u52d5\u7cfb\u306e\u691c\u8a0e <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u897f\u652f\u90e8 \u7b2c98\u671f\u5b9a\u6642\u7dcf\u4f1a\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u77f3\u539f \u5f18\u4e8c (2023\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30b5\u30a4\u30dc\u30fc\u30b0AI\u306b\u95a2\u3059\u308b\u7814\u7a76\u958b\u767a <em>NEDO AI NEXT FORUM 2023<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2023\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u81e8\u5e8a\u30cb\u30fc\u30ba\u306b\u5408\u308f\u305b\u305f\u6b69\u884c\u30ed\u30dc\u30c3\u30c8\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u958b\u767a <em>\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u7642\u30c7\u30b8\u30bf\u30eb\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30e1\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a\u7b2c1\u56de\u7814\u4fee\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe E. (2022\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Model-based imitation learning using entropy regularization of policy and model <em>Neural Computation Workshop 2022<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u77f3\u539f \u5f18\u4e8c (2022\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30dc\u30c3\u30c8\u306e\u904b\u52d5\u3068\u77e5\u80fd\u306e\u878d\u5408\u306b\u5411\u3051\u305f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u30d2\u30c8\u306e\u904b\u52d5\u80fd\u529b\u306e\u62bd\u51fa\u3068\u904b\u52d5\u751f\u6210\u3078\u306e\u5229\u7528 <em>ICT\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u30d5\u30a9\u30fc\u30e9\u30e02022<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Jabbariasl H.,\u00a0Uchibe E. (2022\/12). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Online data-driven inverse reinforcement learning for deterministic systems <em>IEEE Symposium Series on Computational Intelligence (SSCI2022)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2022\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u52b9\u7387\u5316\u306b\u5411\u3051\u305f\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u5f79\u5272 <em>\u6771\u5317\u5927\u5b66\u300c\u65e5\u672c\u306e\u7523\u696d\u3068\u79d1\u5b66\u6280\u8853\u300d\u7279\u5225\u8b1b\u7fa9<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4e45\u4fdd \u5cf0\u9cf4\u3001\u9593\u91ce \u76f4\u4eba\u3001\u6851\u539f \u5d69\u5e78\u3001\u4e2d\u689d \u96c4\u592a\u3001\u68ee \u516c\u5f66\u3001\u68ee \u62d3\u4e5f\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2022\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u8089\u4ed8\u304d\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6b69\u884c\u7df4\u7fd2\u304c\u7247\u9ebb\u75fa\u6b69\u884c\u306b\u4e0e\u3048\u308b\u5f71\u97ff <em>\u7b2c52\u56de\u65e5\u672c\u81e8\u5e8a\u795e\u7d4c\u751f\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9593\u91ce \u76f4\u4eba\u3001\u4e2d\u689d \u96c4\u592a\u3001\u68ee \u516c\u5f66\u3001\u6851\u539f \u5d69\u5e78\u3001\u4e45\u4fdd \u5cf0\u9cf4\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2022\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8db3\u95a2\u7bc0\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u8a13\u7df4\u306e\u52b9\u679c\u3068\u95a2\u4fc2\u3059\u308b\u7b4bModule\u306e\u7279\u5fb4 <em>\u7b2c52\u56de\u65e5\u672c\u81e8\u5e8a\u795e\u7d4c\u751f\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u9ad8\u4e95 \u98db\u9ce5\u3001\u6d45\u4e95 \u98db\u9df9 (2022\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u5ea6\u5316\u3059\u308b\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u958b\u767a <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2022) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7247\u5ca1 \u60a0\u3001\u9ad8\u4e95 \u98db\u9ce5 (2022\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u529b\u899a\u63d0\u793a\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u306b\u3088\u308b\u904b\u52d5\u6559\u793a\u6642\u306e\u8133\u6ce2\u3068\u904b\u52d5\u5b66\u7fd2\u52b9\u679c\u306e\u95a2\u4fc2\u306b\u95a2\u3059\u308b\u7814\u7a76 <em>\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u65b0\u660e \u4fca\u82f1\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u9ad8\u677e \u6bd4\u4f0a\u5442\u3001\u5742\u672c \u7d62\u7f8e\u3001\u6c5f\u6728 \u7fd4\u5e73\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2022\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u4e00\u75c7\u4f8b\u306b\u5bfe\u3059\u308b\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u3092\u4f75\u7528\u3057\u305f\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u6b69\u884c\u7df4\u7fd2\u304c\u6b69\u884c\u901f\u5ea6\u3068\u6b69\u884c\u8010\u4e45\u6027\u306b\u4e0e\u3048\u308b\u5f71\u97ff <em>\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5\u3001\u88f4 \u51f1\u5f37\u3001\u65b0\u8c37 \u7be4\u5f66\u3001\u5ddd\u5408 \u5fe0\u96c4 (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Modelica\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u8d77\u7acb\u652f\u63f4\u88c5\u7f6e\u306e\u79fb\u52d5\u6a5f\u69cb\u90e8\u306e\u8a2d\u8a08 <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a2022\u5e74\u5ea6\u5e74\u6b21\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30c8\u306e\u500b\u5225\u6027\u306b\u5bfe\u5fdc\u3057\u305f\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u5b9f\u73fe\u306e\u305f\u3081\u306e\u6b69\u884c\u30d5\u30a7\u30fc\u30ba\u63a8\u5b9a <em>\u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Can robot assist user transparently? &#8211; Development of neurorehabilitation and assistive AI\/robot <em>Japanese-European Workshop on \u201cCo-evolving AI and Robots towards 2050\u201d<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u5bae \u5149\u7167\u3001\u9ad8\u4e95 \u98db\u9ce5 (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4eee\u60f3\u7a7a\u9593\u4e0a\u306b\u5b58\u5728\u3059\u308b\u30a2\u30d0\u30bf\u30fc\u304c\u884c\u3046\u52d5\u4f5c\u306e\u89b3\u5bdf\u306b\u3088\u308b\u904b\u52d5\u5b66\u7fd2\u306e\u63d0\u6848 <em>\u7b2c4\u56de\u65e5\u672c\u518d\u751f\u533b\u7642\u3068\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5bfa\u524d \u9054\u4e5f\u3001\u7560\u4e2d \u3081\u3050\u307f\u3001\u795e\u5c3e \u662d\u5b8f\u3001\u5e73\u677e \u4f51\u4e00\u3001\u53e4\u5ddd \u6df3\u4e00\u90ce\u3001\u5bae\u4e95 \u4e00\u90ce\u3001\u91ce\u7530 \u667a\u4e4b (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e0a\u80a2\u80a9\u5c48\u66f2\u30a2\u30b7\u30b9\u30c8\u6642\u306e\u5171\u540c\u904b\u52d5\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u30a2\u30b7\u30b9\u30c8\u7387\u306e\u6700\u9069\u5316 \uff5e\u8133\u5352\u4e2d\u7247\u9ebb\u75fa\u60a3\u8005\u306b\u3088\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u5b9f\u8a3c\uff5e <em>\u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u4ef2\u7530 \u4f73\u5f18\u3001\u91ce\u7530 \u667a\u4e4b (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8077\u4eba\u306e\u4e01\u5ea6\u3088\u3044\u62bc\u3057\u3064\u3051\u529b\u306e\u518d\u73fe\u306b\u5411\u3051\u305f\u4e00\u4f53\u69cb\u9020\u7a7a\u96fb\u30cf\u30a4\u30d6\u30ea\u30c3\u30c8\u30ea\u30cb\u30a2\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30bf\u306e\u958b\u767a <em>2022\u5e74\u96fb\u6c17\u5b66\u4f1a\u7523\u696d\u5fdc\u7528\u90e8\u9580\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2022\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u591a\u76ee\u7684\u5f37\u5316\u5b66\u7fd2\u306e\u305f\u3081\u306e\u7d4c\u9a13\u518d\u751f\u30d0\u30c3\u30d5\u30a1\u306e\u5206\u96e2 <em>\u7b2c40\u56de \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a\uff08RSJ2022\uff09\u8b1b\u6f14\u4e88\u7a3f\u96c6<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5 (2022\/08). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5de6\u53f3\u72ec\u7acb\u514d\u8377\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a <em>\u7b2c403\u56de\u632f\u52d5\u8ac7\u8a71\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe E. (2022\/07). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Asynchronous competition and cooperation between model-based and model-free reinforcement learning systems <em>\u7b2c45\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a (Neuro2022)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2022\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u30fb\u30e2\u30c7\u30eb\u30d5\u30ea\u30fc\u5f37\u5316\u5b66\u7fd2\u306e\u8abf\u505c\u306b\u3064\u3044\u3066 <em>\u7b2c36\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a (JSAI2022)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8 \u82f1\u6cbb (2022\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6c7a\u5b9a\u8ad6\u7684\u65b9\u7b56\u3092\u5b66\u7fd2\u3059\u308b\u305f\u3081\u306e\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u5f37\u5316\u5b66\u7fd2 <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6, 2023\u5dfb, 1P1-G07<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6851\u539f \u5d69\u5e78\u3001\u68ee \u516c\u5f66\u3001\u4e45\u4fdd \u5cf0\u9cf4\u3001\u9593\u91ce \u76f4\u4eba\u3001\u4e2d\u689d \u96c4\u592a\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u9577\u8c37 \u516c\u9686 (2022\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u7247\u9ebb\u75fa\u6b69\u884c\u306e\u9ebb\u75fa\u5074\u63a8\u9032\u529b\u3092\u5897\u52a0\u3055\u305b\u308b\u9ad8\u901f\u5ea6\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u3068\u4f75\u7528\u3057\u305f\u8db3\u95a2\u7bc0\u30a2\u30b7\u30b9\u30c8\u6b69\u884c\u7df4\u7fd2\u306e\u4ecb\u5165\u52b9\u679c <em>\u7b2c59\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2022\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u75c5\u524d\u306e\u6b69\u884c\u3092\u601d\u3044\u51fa\u3059\u305f\u3081\u306e\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u30ed\u30dc\u30c3\u30c8 <em>Research Studio Mini Workshop <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u77f3\u539f \u5f18\u4e8c\u3001\u68ee\u672c \u6df3 (2022\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u306e\u904b\u52d5\u5b66\u7fd2 <em>\u7b2c66\u56de\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa J., Okajima S., An Q., Nakamura Y., Morimoto J. (2022\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Selective assist strategy by using lightweight carbon frame exoskeleton robot <em>IEEE International Conference on Robotics and Automation (ICRA2022)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u9ad8\u4e95 \u98db\u9ce5 (2022\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u5ea6\u5316\u3059\u308b\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u958b\u767a <em>\u533b\u7642\u3068\u4ecb\u8b77\u306e\u7dcf\u5408\u5c55\/\u7b2c8\u56de\u75c5\u9662\u8a2d\u5099\u30fb\u533b\u7642\u6a5f\u5668EXPO\u5927\u962a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5cf6\u7530 \u7950\u91cc\u3001\u4e95\u4e0a \u9756\u609f\u3001\u83c5\u6fa4 \u660c\u53f2\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u571f\u65b9 \u5948\u5948\u5b50\u3001\u8fd1\u85e4 \u56fd\u55e3\u3001\u5ddd\u4e0a \u9014\u884c (2022\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u56de\u5fa9\u671f\u8133\u5352\u4e2d\u60a3\u8005\u306b\u5bfe\u3059\u308b\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u99c6\u52d5\u306e\u9577\u4e0b\u80a2\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6b69\u884c\u7df4\u7fd2\u306e\u4f7f\u7528\u7d4c\u9a13 <em>\u7b2c27\u56de\u5343\u8449\u770c\u7406\u5b66\u7642\u6cd5\u58eb\u5b66\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b (2022\/01). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Role of Robotics and Artificial Intelligence toward Enhanced Neurorehabilitation <em>2022\u5e74\u5ea6\uff11\u6708\u95a2\u897f\u533b\u79d1\u5927\u7267\u91ceCP\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u5de5\u5b66\u7279\u5225\u8b1b\u7fa9<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b, \u9ad8\u6a4b\u5bb9\u5b50 (2021\/12).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6b69\u884c\u4e2d\u306b\u304a\u3051\u308b\u4e0b\u80a2\u306e\u810a\u9ac4\u76f8\u53cd\u6027\u6291\u5236\u8a55\u4fa1\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3068\u5065\u5e38\u8005\u3067\u306e\u8a08\u6e2c <em>\u7b2c51\u56de\u65e5\u672c\u81e8\u5e8a\u795e\u7d4c\u751f\u7406\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\/\u30d7\u30ed\u30b0\u30e9\u30e0\u96c6<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E. (2021\/12).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Model-based and model-free imitation learning <em>Neural Computation Workshop 2021 <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b,\u65b0\u660e\u4fca\u82f1 (2021\/11).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u4e00\u75c7\u4f8b\u306b\u5bfe\u3057\u3066\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u3092\u4f75\u7528\u3057\u305f\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u6b69\u884c\u7df4\u7fd2\u306e\u901f\u5ea6\u306e\u691c\u8a0e <em>\u7b2c5\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b, \u7027\u53e3\u8ff0\u5f18 (2021\/11).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u5352\u4e2d\u4e00\u75c7\u4f8b\u306b\u5bfe\u3057\u3066\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u5e95\u5c48\u904b\u52d5\u30a2\u30b7\u30b9\u30c8\u304c\u6b69\u884c\u5909\u52d5\u6027\u306b\u4e0e\u3048\u308b\u5f71\u97ff <em>\u7b2c6\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u96c6\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5 (2021\/11). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3084\u904b\u52d5\u5b66\u7fd2\u306e\u6709\u52b9\u6027\u691c\u8a3c <em>\u7b2c9\u56de\u30e9\u30a4\u30d5\u30b5\u30a4\u30a8\u30f3\u30b9\u8ac7\u8a71\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ishihara, K., Morimoto, J. (2021\/10).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Computationally affordable hierarchical framework for humanoid robot control <em>2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2021)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u3000\u667a\u4e4b (2021\/09).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u73fe\u3059\u308b\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u304a\u3088\u3073\u4ecb\u5165\u30a8\u30f3\u30b8\u30f3\u306e\u958b\u767a <em>\u65e5\u672c\u4ea4\u901a\u533b\u5b66\u5de5\u5b66\u7814\u7a76\u4f1a\u7b2c30\u56de\u5b66\u8853\u7dcf\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3 (2021\/09).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30dc\u30c3\u30c8\u5b66\u7fd2\u306b\u304a\u3051\u308b\u8eab\u4f53\u30fb\u74b0\u5883\u30e2\u30c7\u30eb\u306e\u6d3b\u7528 <em>\u7b2c15\u56de Motor Control \u7814\u7a76\u4f1a <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb (2021\/09).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u65b9\u7b56\u3068\u74b0\u5883\u30e2\u30c7\u30eb\u3092\u751f\u6210\u30e2\u30c7\u30eb\u3068\u3057\u3066\u5b66\u7fd2\u3059\u308b\u6575\u5bfe\u7684\u751f\u6210\u6a21\u5023\u5b66\u7fd2 <em>\u7b2c39\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a(RSJ2020)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb (2021\/09).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e26\u5217\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2 <em>\u7b2c15\u56de Motor Control \u7814\u7a76\u4f1a <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb (2021\/06).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e2\u30c7\u30eb\u30d5\u30ea\u30fc\u3068\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u5f37\u5316\u5b66\u7fd2\u306e\u305f\u3081\u306e\u975e\u540c\u671f\u4e26\u5217\u5b66\u7fd2 <em>\u7b2c35\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(JSAI2021) <\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u4e95 \u98db\u9ce5 (2021\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8eab\u4f53\u304a\u3088\u3073\u611f\u899a\u904b\u52d5\u6a5f\u80fd\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u958b\u767a <em>\u5927\u962a\u5e02\u7acb\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7814\u7a76\u79d1 \u533b\u5de5\u30fb\u751f\u547d\u5de5\u5b66\u6559\u80b2\u7814\u7a76\u30bb\u30f3\u30bf\u30fc \u7b2c11\u56de\u30bb\u30df\u30ca\u30fc<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530 \u667a\u4e4b\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u9ad8\u4e95 \u98db\u9ce5 (2021\/02). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cb\u30e5\u30fc\u30ed\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u5ea6\u5316\u3059\u308b\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u5de5\u77e5\u80fd <em>\u533b\u7642\u3068\u4ecb\u8b77\u306e\u7dcf\u5408\u5c55\/\u7b2c7\u56de\u75c5\u9662\u8a2d\u5099\u30fb\u533b\u7642\u6a5f\u5668EXPO\u5927\u962a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6625\u5c71 \u5e78\u5fd7\u90ce\u3001\u5ddd\u4e0a \u9014\u884c\u3001\u91ce\u7530 \u667a\u4e4b\u3001\u4e2d\u6751 \u62d3\u4e5f\u3001\u90fd\u7bc9 \u572d\u592a\u3001\u5965\u5c71 \u822a\u5e73\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u5ca1\u7530 \u7d18\u4f51\u3001\u68ee\u672c \u6df3\u3001\u85e4\u539f \u4fca\u4e4b (2021\/05). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6162\u6027\u671f\u8133\u5352\u4e2d\u8005\u306b\u5bfe\u3059\u308b\u819d-\u8db3\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8\u6b69\u884c\u4ecb\u5165\u304c\u6b69\u884c\u80fd\u529b\u306b\u53ca\u307c\u3059\u52b9\u679c : \u5358\u4e00\u75c7\u4f8b\u306b\u304a\u3051\u308b\u691c\u8a0e <em>\u7b2c55\u56de\u65e5\u672c\u7406\u5b66\u7642\u6cd5\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Machizawa G.M., Lisi G., Nguyen P., Mizouchi R., Kanayama N., Makita K., Sasaoka T., Yamawaki S. (2021\/05).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Dissociable neural markets for integrative emotional states relates to separable types of personality traits <em>Nature Conference Technologies for Neuroengineering<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa,J., Morimoto,J. (2021\/05).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Composing an assistive control strategy based on linear bellman combination from estimated user&#8217;s motor goal <em>IEEE International Conference on Robotics and Automation (ICRA2021)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E. (2020\/10).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Parallel deep reinforcement learning with model-free and model-based methods<br \/>\n<em>International Symposium on Artificial Intelligence and Brain Science<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai,A., Rivela,D., Lisi,G., Noda,T., Teramae,T., Imamizu,H, Morimoto,J.<\/strong>(2020\/10).<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Neural investigation towards motor skill improvements through brain-computer interface-based training<br \/>\n<em>Brain-Computer Interface Samara 2020 and Samara NeuroWeek<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb,\u677e\u539f\u5d07\u5145,\u68ee\u672c\u6df3 (2020\/10).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5f62\u614b\u306e\u7570\u306a\u308b\u30ed\u30dc\u30c3\u30c8\u9593\u3067\u306e\u6575\u5bfe\u7684\u751f\u6210\u6a21\u5023\u5b66\u7fd2<br \/>\n<em>\u7b2c38\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a(RSJ2020)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Teramae,T., Matsubara,T., Noda,T., Morimoto,J. (2020\/10).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Quaternion-based trajectory optimization of human postures for inducing target muscle activation patterns<br \/>\n<em>IEEE\/RSJ International Conference on Intelligent Robots and Systems<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ishihara,K., Morimoto,J. (2020\/06).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">MPC for humanoid control<br \/>\n<em>Robotics: Science and Systems(RSS2020)Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb (2020\/06).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e2\u30c7\u30eb\u30d5\u30ea\u30fc\u3068\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u306e\u5354\u540c\u306b\u3088\u308b\u4e26\u5217\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2<br \/>\n<em>\u7b2c34\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(JSAI2020)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ewerton,M., Maeda,G., Koert,G., Kolez,Z., Takahashi,M., Peters,J.<\/strong>(2019\/11).<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Reinforcement learning of trajectory distributions: applications in assisted teleoperation and motion planning<br \/>\n<em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ishihara,K., Itoh,D,T., Morimoto,J. (2019\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Full-body optimal control toward versatile and agile behaviors in a humanoid robot <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Fumimoto,H., Teramae,T., Noda,T., Takai,A., Fujita,N., Hatakenaka,M., Hiramatsu,Y., Jino, A., Furukawa,J., Yagura,H., Kawano,T., Otomune,H., Morimoto,J., Miyai,I. (2019\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A novel robot for separate body weight supported treadmill training to modulate gait patterns in patients with hemiparetic stroke <em>Society for Neuroscience Annual Meeting (Neuroscience2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Fumimoto,H., Takai,A., Noda,T., Teramae,T., Fujita,N., Hatakenaka,M., Hiramatsu,Y., Jino,A., Furukawa,J., Otomune,H., Kawano., Yagura,H., Morimoto, J., Miyai,I. (2019\/10). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A robot for split-force body weight-supported treadmill training modulates gait patterns of patients with hemiparetic stroke: case studies <em>American Society of Neurorehabilitation Annual Meeting(ASNR2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u85e4\u7530\u66a2\u4e00,\u85e4\u672c\u5b8f\u660e,\u5e73\u677e\u4f51\u4e00,\u9ad8\u4e95\u98db\u9ce5,\u5bfa\u524d\u9054\u4e5f,\u53e4\u5ddd\u6df3\u4e00\u6717,\u7560\u4e2d\u3081\u3050\u307f,\u795e\u5c3e\u662d\u5b8f,\u91ce\u7530\u667a\u4e4b,\u68ee\u672c\u6df3,\u5bae\u4e95\u4e00\u90ce (2019\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5de6\u53f3\u72ec\u7acb\u514d\u8377\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u30c8\u30ec\u30c3\u30c9\u30df\u30eb\u6b69\u884c\u306b\u3088\u308b\u3001\u8133\u5352\u4e2d\u5f8c\u7247\u9ebb\u75fa\u60a3\u8005\u306e\u6b69\u884c\u30d1\u30bf\u30fc\u30f3\u5909\u5bb9 <em>\u7b2c17\u56de\u65e5\u672c\u795e\u7d4c\u7406\u5b66\u7642\u6cd5\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E. (2019\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Parallel reward and punishment learning under entropy regularization <em>\u7b2c29\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(JNNS2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E. (2019\/09). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Parallel reward and punishment learning under entropy regularization <em>\u7b2c29\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(JNNS2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Fujimoto,H., Takai,A., Fujita,N., Hatakenaka,M, Noda,T., Teramae,T., Furukawa,J., Nakano,N., Jino,A., Hiramatsu.Y., Otomune,H., Kawano,T., Yagura,H., Hattori,N, Morimoto,J., Miyai,I. (2019\/06). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Intelligent-BWS: a novel robot for separate body weight support treadmill training in poststroke gait disorder-a preliminary case study <em>13th International Society of Physical and Rehabilitation Medicine World Congress&#8221;<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai,A., Doibata,Y., Tsuchiya,T., Lisi,G., Kawato,M., Morimoto,J., Santello,M. (2019\/04). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Spontaneous emergence of leader-follower relationship in different physically-jointed interactive conditions <em>Neural Control of Movement Annual Meeting and Satellite Meeting (NCM2019)&#8221;<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2019\/04). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Motor learning algorithms <em>Skolkovo Robotics 2019<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Kozuno,T., Uchibe,E., Doya,K. (2019\/04). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Theoretical analysis of efficiency and robustness of softmax and gap-increasing operators in reinforcement learning <em>22nd International Conference on Artificial Intelligence and Statistics(AISTATS2019)&#8221;<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ridge,B., Pahic,R., Ude,A., Morimoto, J (2019).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning to write anywhere with spatial transformer image-to-motion encoder-decoder networks <em>IEEE International Conference on Robotics and Automation(ICRA2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamaya,M., Matsubara,T., Furukawa,J., Sun,Yuting., Yagi,S., Teramae,T., Noda,T., Morimoto,J (2019).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Exploiting human and robot muscle synergies for human-in-the-loop optimization of EMG-based assistive strategies <em>IEEE International Conference on Robotics and Automation(ICRA2019)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u9ad8\u6a4b\u5bb9\u5b50,\u91ce\u7530\u667a\u4e4b,\u5bfa\u524d\u9054\u4e5f,\u6625\u5c71\u5e78\u5fd7\u90ce,\u5ca1\u7530\u7d18\u4f51,\u5965\u5c71\u822a\u5e73,\u4e2d\u6751\u62d3\u4e5f,\u5ddd\u4e0a\u9014\u884c,\u68ee\u672c\u6df3,\u91cc\u5b87\u660e\u5143(2019).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u819d\u95a2\u7bc0\u3068\u8db3\u95a2\u7bc0\u3092\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u3067\u540c\u6642\u5236\u5fa1\u3059\u308b\u4e0b\u80a2\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u7247\u811a\u578b\u3092\u7528\u3044\u305f\u8133\u5352\u4e2d\u6b69\u884c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u958b\u767a <em>\u56de\u5fa9\u671f\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u75c5\u68df\u5354\u4f1a \u7b2c33\u56de\u7814\u7a76\u5927\u4f1a in \u821e\u6d5c\u30fb\u5343\u8449<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6ff1\u5c4b\u653f\u5fd7,\u677e\u539f\u5d07\u5145,\u53e4\u5ddd\u6df3\u4e00\u6717,\u5b6b\u96e8\u5ead,\u516b\u6728\u8061\u660e,\u5bfa\u524d\u9054\u4e5f,\u91ce\u7530\u667a\u4e4b,\u68ee\u672c\u6df3(2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e6\u30fc\u30b6\u55dc\u597d\u306b\u57fa\u3065\u304fEMG\u3092\u7528\u3044\u305f\u904b\u52d5\u652f\u63f4\u5236\u5fa1\u5668\u306e\u30d9\u30a4\u30ba\u6700\u9069\u5316 <em>\u7b2c19\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a(SI2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai,A., Rivela,D., Lisi,G., Noda,T., Teramae,T., Imamizu,H.,Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Investigation on the neural correlates of haptic training <em>IEEE International Conference on Systems,Man,and Cybernetics(SMC2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda,T., Teramae,T., Furukawa,J., Ogura,M., Okuyama,K., Kawakami,M., Liu,M., Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of shoulder exoskeleton toward BMI triggered rehabilitation robot therapy <em>IEEE International Conference on Systems,Man,and Cybernetics(SMC2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Maeda,G., Koc,O., Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Reinforcement learning of phase oscillators for fast adaptation to moving targets <em>Conference on Robot Learning(CoRL2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa,J., Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A data-driven approach for estimating human behavior with collaborative filtering <em>Joint workshop of UCL-ICN, NTT, UCL-Gatsby, and AIBS<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Wang,J., Elfwing,S.,Uchibe,E (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Deep reinforcement learning by parallelizing reward and punishment using MaxPain architecture <em>8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics(ICDL-EpiRob2018<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Cooperative and competitive reinforcement and imitation learning <em>8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics(ICDL-EpiRob2018<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi,G (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Functional connectivity rs-fMRI marker for schizophrenia spectrum disorder <em>\u7b2c40\u56de\u65e5\u672c\u751f\u7269\u5b66\u7684\u7cbe\u795e\u533b\u5b66\u4f1a\u30fb\u7b2c61\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5e74\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Gordon,D., Matsubara,T., Noda,T., Teramae,T., Morimoto,J., Vijayakumar,S (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Bayesian optimisation of exoskeleton design parameters <em>7th IEEE RAS\/EMBS International Conference on Biomedical Robotics and Biomechatronics\uff08BioRob 2018\uff09<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Efficient sample reuse in policy search by multiple importance sampling <em>Genetic and Evolutionary Computation Conference(GECCO2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamdan,S.,Oztop,E.,Furukawa,J.,Morimoto,J.,Ugurlu,B (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Shoulder glenohumeral elevation estimation based on upper arm orientation <em>40th International Conference of the IEEE Engineering in Medicine and Biology Society<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Elfwing,S., Uchibe,E.,Doya,K (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Online meta-learning by parallel algorithm competition <em>Genetic and Evolutionary Computation Conference(GECCO2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Pahic,R., Gams,A., Ude,A., Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Deep encoder-decoder networks for mapping raw images to dynamic movement primitives <em>IEEE International Conference on Robotics and Automation(ICRA2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamdan,S.,Oztop,E.,Furukawa,J.,Morimoto,J.,Ugurlu,B (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Estimating humerus head elevation in human shoulder joints via gaussian process regression <em>Turkey Robotics Conference(TORK2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u90e8\u82f1\u6cbb(2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u65b9\u7b56\u63a2\u67fb\u6cd5\u306e\u305f\u3081\u306e\u591a\u91cd\u91cd\u70b9\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u7d4c\u9a13\u518d\u5229\u7528 <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a(ROBOMECH2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E., Wang,J., Doya,K. (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">EM-based policy search for learning foraging and mating behaviors <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a(ROBOMECH2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda,T., Takai, A.,Teramae, T., Hirooka, E., Hase, K., Morimoto,J (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Robotizing double-bar ankle-foot orthosis <em>IEEE International Conference on Robotics and Automation(ICRA2018)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning assistive strategies for BMI exoskeleton robots <em>2018 Brain and AI Symposium<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi, G., Iwane, F., Morimoto, J. (2018).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Neural correlates of passive dynamics encoding are localised in space and frequency <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c18\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Teramae,T., Noda,T., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A control strategy for physical human-robot interaction using biosignal-based model predictive control <em>Real-time Functional Imaging and Neurofeedback Conference(rtFIN2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai,A., Noda,T., Lisi,G., Teramae,T., Imamizu,H., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">The differences in motor performances between sensorimotor area activities of pre-and during passive guidance <em>Real-time Functional Imaging and Neurofeedback Conference(rtFIN2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Numata,R., Iwane,F., Rivela,D., Lisi,G., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Towards the development of a co-adaptive brain robot interface <em>Real-time Functional Imaging and Neurofeedback Conference(rtFIN2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto,J (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning assistive strategies for exoskeleton robots <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2017) workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi,G., Yoshihara,Y., Yahata,N, Hashimoto,R., Yamada,T., Kasai,K., Kato,N.,Takahashi,H., Morimoto,J., Kawato,M (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Functional connectivity MRI biomarkers may serve as biological dimensions of multiple psychiatric disorders <em>Society for Neuroscience 47th Annual Meeting(Neuroscience2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi,G., Yahata,N., Kawato,M., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Functional connectivity rsfMRI as a biomarker of mental disorders <em>Real-time Functional Imaging and Neurofeedback Conference(rtFIN2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa,J., Takai,A., Morimoto,J (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Database-driven approach for biosignal-based robot control with collaborative filtering <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa,J., Noda,T., Teramae,T., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Human movement estimation from multiple biosignal observations toward safe assistive robot control <em>Real-time Functional Imaging and Neurofeedback Conference(rtFIN2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Tsurumine,Y., Cui,Y., Uchibe,E., Matsubara,T (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Deep dynamic policy programming for robot control with raw images <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Teramae,T., Noda,T., Morimoto,J (2017\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">EMG-based model predictive control for physical human-robot interaction:application for assist-as-needed control <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamaya,M., Matsubara,T., Noda,T., Teramae,T., Morimoto,J(2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">User-robot collaborative excitation for PAM model identification in exoskeleton robots <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Elfwing,S., Seymour,B (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Parallel reward and punishment control in humans and robots: safe reinforcement learning using the MaxPain algorithm <em>7th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics(ICDL-EPIROB2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamaya,M., Matsubara,T., Noda,T., Teramae,T., Morimoto,J (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning <em>IEEE International Conference on Robotics and Automation(ICRA2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Goljat,R., Babic,J., Petric,T., Peternel,L., Morimoto,J (2017).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Power-augmentation control approach for arm exoskeleton based on human muscular manipulability <em>IEEE International Conference on Robotics and Automation(ICRA2017)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ishihara,K.,Morimoto,J (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A hierarchical model predictive control approach to generate biped robot movements in real-time <em>IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots(SIMPAR2016) Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Takai,A., Noda,T., Lisi,G., Teramae,T., Imamizu,H., Morimoto,J (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning arm movements instructed by a robotic system during motor imagery <em>Society for Neuroscience 46th Annual Meeting(Neuroscience2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi,G., Morimoto,J., Yahata,N, Hashimoto,R., Yamada,T., Kato,N., Takahashi,H., Yoshihara,Y., Ichikawa,N., Okamoto,Y., Kasai,K., Sakai,Y.,Tanaka,S., Kawato,M (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Investigating psychiatric cross-disorder overlap based on functional connectivity magnetic resonance imaging <em>Society for Neuroscience 46th Annual Meeting(Neuroscience2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ude,A., Vuga,R., Nemec,B., Morimoto,J (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Trajectory representation by nonlinear scaling of dynamic movement primitives <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Uchibe,E (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Deep inverse reinforcement learning by logistic regression <em>23rd International Conference on Neural Information Processing(ICONIP2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda,T (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of upper-extremity exoskeleton robots towards robotic rehabilitation <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2016)workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6ff1\u5c4b\u653f\u5fd7,\u677e\u539f\u5d07\u5145,\u91ce\u7530\u667a\u4e4b,\u5bfa\u524d\u9054\u4e5f,\u68ee\u672c\u6df3\uff082016\uff09.<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u52d5\u4f5c\u652f\u63f4\u6226\u7565\u306e\u30bf\u30b9\u30af\u975e\u4f9d\u5b58\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u5f37\u5316\u5b66\u7fd2 <em>\u7b2c34\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Huang,Q., Uchibe,E., Doya,K(2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Emergence of communication among reinforcement learning agents under coordination environment <em>6th Joint IEEE International Conference on Developmental Learning and Epigenetic Robotics(ICDL-EPIROB2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Motor learning methods for humanoid control <em>IEEE International Conference on Robotics and Automation (ICRA2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hamaya,M., Matsubara,T., Noda,T., Teramae,T., Morimoto,J (2016).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning assistive strategies from few user-robot interactions:model-based reinforcement learning approach <em>IEEE International Conference on Robotics and Automation(ICRA2016)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ariki,Y., Inamura,T., Ikeda,S.,Morimoto,J (2015).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Sparsely extracting stored movements to construct interfaces for humanoid end-effector control <em>IEEE International Conference on Robotics and Biomimetics(ROBIO2015)<\/em><\/span><br \/>\n<span style=\"font-family: helvetica;\">Neural correlates of passive dynamics encoding are localised in space and frequency <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c18\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ishihara,K.,Morimoto,J (2015).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Real-time model predictive control with two-step optimization based on singularly perturbed system <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b,\u5bfa\u524d\u9054\u4e5f,\u68ee\u672c\u6df3(2015).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5165\u308c\u5b50\u69cb\u9020\u3092\u6709\u3059\u308b\u7a7a\u6c17\u5727\u4eba\u5de5\u7b4b\u30e2\u30b8\u30e5\u30fc\u30eb\u306b\u3088\u308b\u30ef\u30a4\u30e4\u5f15\u304d\u99c6\u52d5\u88c5\u7f6e <em>\u7b2c59\u56de\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a(SCI2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ugurlu, B., Forni, P., Doppmann, C., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Torque and variable stiffness control for antagonistically driven pneumatic muscle actuators via a stable force feedback controller. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of upper-extremity exoskeleton driven by pneumatic cylinder toward robotic rehabilitation platform for shoulder elevation. <em>IEEE\/RAS-EMBS International Conference on Rehabilitation Robotics(ICORR2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Brinker, J.O., Matsubara, T., Teramae, T., Noda, T., Asfour, T., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Walking pattern prediction with partial observation for partial walking assistance by using an exoskeleton system. <em>IEEE\/RAS-EMBS International Conference on Rehabilitation Robotics(ICORR2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ullauri, J.B., Peternel, L., Ugurlu, B., Yamada, Y., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">On the EMG-based torque estimation for humans coupled with a force-controlled elbow exoskeleton. <em>17th International Conference on Advanced Robotics(ICAR2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Peternel, L., Ugurlu, B., Babic, J., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Assessments on the improved modelling for pneumatic artificial muscle actuators. <em>17th International Conference on Advanced Robotics(ICAR2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M., Kawakubo, Y., Kuwabara, H., Kuroda, M., Yamada, T., Kato, N., Sasaki, Y., Watanabe, T., Kasai, K., Kawato, M. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A machine-learning-based study on the neural substrates of autism spectrum disorder using resting-state functional MRI. <em>\u7b2c36\u56de\u65e5\u672c\u751f\u7269\u5b66\u7684\u7cbe\u795e\u533b\u5b66\u4f1a<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Gams, A., Ude, A., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Accelerating synchronization of movement primitives: dual-arm discrete-periodic motion of a humanoid robot. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Nakata, Y., Noda, T., Morimoto, J., Ishiguro, H. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of a pneumatic-electromagnetic hybrid linear actuator with an integrated structure. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Furukawa, J., Noda, T., Teramae, T., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Estimating joint movements from observed EMG signals with multiple electrodes under sensor failure situations towards safe assistive robot control. <em>IEEE International Conference on Robotics and Automation(ICRA2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ugurlu, B., Forni, P., Doppmann, C., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Variable ankle stiffness outperforms optimal constant stiffness. <em>17th International Conference on Advanced Robotics(ICAR2015) Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Doppmann, C., Ugurlu, B., Hamaya, M., Teramae, T., Noda, T., Morimoto, J. (2015). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Towards balance recovery control for lower body exoskeleton robots with variable stiffness actuators: spring-loaded flywheel model. <em>IEEE International Conference on Robotics and Automation(ICRA2015)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ariki, Y., Inamura, T., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Observing human movements to construct a humanoid interface. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Tangkaratt, V., Wensveen, T., Zhao, T., Sugiyama, M., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Efficient reuse of previous experiences in humanoid motor learning. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Uto, D., Noda, T., Teramae, T., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Style-phase adaptation of human and humanoid biped walking patterns in real systems. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Nested chamber design for modularized pneumatic artificial muscle transmitted via bowden cable. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2014)Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Nakata, Y., Noda, T., Morimoto, J., Ishiguro, H. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Design of an integrated pneumatic-electromagnetic hybrid linear actuator. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2014)Workshop<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Teramae, T., Ugurlu, B., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of an upper limb exoskeleton powered via pneumatic electric hybrid actuators with bowden cable. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M., Kawakubo, Y., Kuwabara, H., Kuroda, M., Yamada, T., Kato, N., Sasaki, Y., Watanabe, T., Kasai, K., Kawato, M. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A machine-learning-based investigation on the neural substrates of autism spectrum disorder using resting-state fMRI. <em>\u7b2c37\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ugurlu, B., Oshima, H., Narikiyo, T. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Lower body exoskeleton-supported compliant bipedal walking for paraplegics: how to reduce upper body effort?.<em> IEEE International Conference on Robotics and Automation(ICRA2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An exoskeleton robot with pneumatic\u2010electric hybrid actuators. <em>Next generation of collaborative robots French-Japanese Conference<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ude, A., Nemec, B., Petric, T., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Orientation in cartesian space dynamic movement primitives. <em>IEEE International Conference on Robotics and Automation(ICRA2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Teramae, T., Noda, T., Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Optimal control approach for pneumatic artificial muscle with using pressure-force conversion model. <em>IEEE International Conference on Robotics and Automation(ICRA2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2014). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of a lower limb exoskeleton robot for BMI rehabilitation. <em>7th World Congress of Biomechanics(WCB2014)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Trajectory-model-based reinforcement learning: Application to bimanual humanoid motor learning with a closed-chain constraint. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ariki, Y., Inamura, T., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning a humanoid robot interface by embedding a low-dimensional command manifold into a high-dimensional joint action space. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S., Hayashi, T., Yagi, A., Noda, T., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Design of hybrid drive exoskeleton robot XoR2. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Furukawa, J., Teramae, T., Hyon, S., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Brain exoskeleton-robot interface for rehabilitation assistance. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2013)Workshop<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ugurlu, B., Havoutis, I., Semini, C., Caldwell, D. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Dynamic trot-walking with the hydraulic quadruped robot &#8211; HyQ: analytical trajectory generation and active compliance control. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Teramae, T., Noda, T., Hyon, S., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Modeling and control of a pneumatic-electric hybrid system. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3, \u91ce\u7530\u667a\u4e4b, \u53e4\u5ddd\u6df3\u4e00\u6717, \u5bfa\u524d\u9054\u4e5f, \u6b66\u7530\u6e56\u592a\u90ce, \u690d\u6751\u4fee (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e0b\u80a2\u904b\u52d5\u30a2\u30b7\u30b9\u30c8\u306e\u305f\u3081\u306e\u7a7a\u96fb\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u99c6\u52d5\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\u3068\u691c\u8a3c. <em>\u7b2c30\u56de\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u7642\u61c7\u8a71\u4f1a\/\u6284\u9332\u96c6<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Trajectory-model-based reinforcement learning approach:application to humanoid motor control. <em>\u7b2c36\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c56\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c23\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2013)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Yahata, N., Morimoto, J., Hashimoto, R., Shibata, K., Imamizu, H., Fukuda, M., Kawakubo, Y., Kuwabara, H., Yamada, T., Sasaki, Y., Kato, N., Watanabe, T., Kasai, K., Kawato, M. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A machine-learning-based biomarker for autism spectrum disorder using resting-state fMRI. <em>\u7b2c36\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c56\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c23\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2013)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Brain-robot interfaces for exoskeleton robot control. <em>International Conference Third Infinity 2013\uff0fConference on Physics of Biological and complex Systems<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Furukawa, J., Teramae, T., Hyon, S., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An Electromyogram based force control coordinated in assistive interaction. <em>IEEE International Conference on Robotics and Automation(ICRA2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Vuga, R., Ogrinc, M., Gams, A., Petric, T., Sugimoto, N., Ude, A., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Motion capture and reinforcement learning of dynamically stable humanoid movement primitives. <em>IEEE International Conference on Robotics and Automation(ICRA2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Bouyarmane, K., Vaillant, J., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Low-dimensional user control of autonomously planned whole-body humanoid locomotion motion towards brain-computer interface applications. <em>16th International Conference on Climbing and Walking Robots(CLAWAR 2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Using humanoid technologies to assist humans. <em>35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Suetani, H., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Canonical correlation analysis for muscle synergies organized by sensory-motor interactions in musculoskeletal arm movements. <em>IEEE International Conference on Robotics and Automation(ICRA2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: application to humanoid robot motor learning in the real environment. <em>IEEE International Conference on Robotics and Automation(ICRA2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Lisi, G., Noda, T., SATO, M., Morimoto, J. (2013). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">EEG-based control of a wearable robot: how passive movements induced by the robot influence the brain activity and the control performance. <em>\u7b2c36\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c56\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c23\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2013)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Sugimoto, N., Furukawa, J., Sato, M., Hyon, S., Morimoto, J. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Brain-controlled exoskeleton robot for BMI rehabilitation. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2012)<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Bouyarmane, K., Kheddar A. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">On the dynamics modeling of free-floating-base articulated mechanisms and applications to humanoid whole-body dynamics and control. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2012)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Bouyarmane, K., Vaillant J., Keith F., Kheddar A. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Exploring humanoid robots locomotion capabilities in virtual disaster response scenarios. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2012)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Uchikata, A., Morimoto, J. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2012)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Connecting brains with mechanical systems. <em>4th International Symposium on Brain and Cognitive Engineering(BCE2012)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Uchikata, A., Morimoto, J. (2012). <\/strong><\/span><\/li>\n<\/ul>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Uchikata, A., Morimoto, J., (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Spatio-temporal synchronization of periodic movements by style-phase adaptation: application to biped walking. <em>IEEE International Conference on Robotics and Automation(ICRA2012).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Suetani, H., Ideta, A. M., Morimoto, J., (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Using basin ruins and co-moving low-dimensional latent coordinates for dynamic programming of biped walkers on roughing ground. <em>IEEE International Conference on Robotics and Automation(ICRA2012).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., Hyon, S., (2012).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">xtraction of latent kinematic relationship between human users and assistive robots.<em>IEEE International Conference on Robotics and Automation(ICRA2012).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ude, A., Schiebener, D., Sugimoto, N., Morimoto, J., (2012). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations. <em>IEEE International Conference on Robotics and Automation(ICRA2012).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, (2012).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9ad8\u6b21\u5143\u591a\u91cd\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u305f\u3081\u306e\u6b63\u6e96\u591a\u91cd\u6574\u5217\u6cd5. <em>\u7b2c\uff18\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a(IBISML) \/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning and adaptation of a stylistic myoelectric interface: EMG-based robotic control with individual user differences. <em>IEEE International Conference on Robotics and Biomimetics(Robio2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Phase-dependent trajectory optimization for periodic movement using path integral reinforcement learning. <em>\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c21\u56de\u5168\u56fd\u5927\u4f1a(JNNS2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u5185\u65b9\u7ae0\u96c5, \u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30b9\u30bf\u30a4\u30eb\u2015\u4f4d\u76f8\u9069\u5fdc\u306b\u3088\u308b\u5468\u671f\u904b\u52d5\u306e\u6642\u7a7a\u9593\u540c\u671f\uff1a\uff12\u8db3\u6b69\u884c\u904b\u52d5\u3078\u306e\u9069\u7528. <em>\u7b2c12\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a(SI2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Extraction of latent connections between sensory receptors and DRG neurons. <em>The 11th Japan-Korea-China Joint workshop On Neurobiology and Neuroinformatics.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3, (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30ed\u30d0\u30b9\u30c8\u5f37\u5316\u5b66\u7fd2. <em>\u65b0\u5b66\u8853\u9818\u57df\u7814\u7a76\u300c\u4e88\u6e2c\u3068\u610f\u601d\u6c7a\u5b9a\u306e\u8133\u5185\u8a08\u7b97\u6a5f\u69cb\u306e\u89e3\u660e\u306b\u3088\u308b\u4eba\u9593\u7406\u89e3\u3068\u5fdc\u7528\u300d\u30b0\u30eb\u30fc\u30d7\u30df\u30fc\u30c6\u30a3\u30f3\u30b0.<br \/>\n<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Schiebener, D., Ude, A., Morimoto, J., Asfour, T., Dillmann, R., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Segmentation and learning of unknown objects through physical interaction. <em>EEE\/RAS International Conference on Humanoid Robots(Humanoids2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Phase-dependent trajectory optimization for CPG-based biped walking using path integral reinforcement learning. <em>EEE\/RAS International Conference on Humanoid Robots(Humanoids2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Hybrid drive exoskeleton robot: compliant control and system identification. <em>EEE\/RAS International Conference on Humanoid Robots(Humanoids2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Noda, T., Hyon, S., Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An optimal control approach for hybrid actuator system. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">User-adaptive myoelectric interface for EMG-based robotic hand control. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., Umeda, T., Nishimura, Y., Isa, T., Kawato, M., Toyama, K., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Canonical correlation analysis (CCA) of multi-joint motion (JM) and dorsal root ganglion (DRG) neuronal activities. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Hyon, S., Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Exoskeleton assistive robot:learning feedforward assist model iteratively through human robot interaction. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Switching multiple LQG controllers based on Bellman&#8217;s optimality: using full -state feedback to control a humanoid robot. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Suetani, H., Ideta, A. M., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Nonlinear structure of escape-times to fall for a passive dynamic walker on an irregular slope: anomaly detection using multi-class support vector machine and latent state extraction by canonical correlation analysis. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Switching multiple LQG controllers based on Bellman&#8217;s optimality principle: using full-state feedback to control a humanoid robot. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S., Morimoto, J., , T. M., Noda, T., Kawato, M., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">XoR: Hybrid drive exoskeleton robot that can balance. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS2011).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning a stylistic model of myoelectric signals for user-adaptive EMG-based robotic control.<em>\u7b2c29\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Manoonpong, P., Worgotter, F., Morimoto, J., (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A combinatorial learning model using correlation-based and reward-based learning for efficient control policy development: acquisition of goal-directed behavior.<em>4th International Workshop on Guided Self-Organization.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u6749\u672c\u5fb3\u548c, \u68ee\u672c\u6df3, (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">CPG\u304c\u51fa\u529b\u3059\u308b\u6b69\u884c\u30d1\u30bf\u30fc\u30f3\u306e\u6700\u9069\u5316\uff1a\u4f4d\u76f8\u306b\u6cbf\u3063\u3066\u7d4c\u8def\u7a4d\u5206\u3092\u884c\u3046\u5f37\u5316\u5b66\u7fd2\u624b\u6cd5.<em>\u7b2c29\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u672b\u8c37\u5927\u9053, \u51fa\u7530\u4e9c\u4f4d\u5b50, \u68ee\u672c\u6df3, (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6b63\u6e96\u76f8\u95a2\u5ea7\u6a19\u7cfb\u3092\u7528\u3044\u305f\u4e8c\u8db3\u6b69\u884c\u306e\u5f37\u5316\u5b66\u7fd2. <em>\u65e5\u672c\u7269\u7406\u5b66\u4f1a2011\u5e74\u79cb\u5b63\u5927\u4f1a\/\u65e5\u672c\u7269\u7406\u5b66\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., (2011).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Recent advances in brain robot interfaces.<em>\u7b2c10\u56de\u65e5\u7c73\u5148\u7aef\u5de5\u5b66(JAFOE)\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Connecting robots with brains: introduction of brain-robot interface(BRI) studies.<em>Robotics: Science and Systems Area Chair Symposium.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b, \u68ee\u672c\u6df3(2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30c8\u306e\u904b\u52d5\u6a5f\u80fd\u3092\u30ed\u30dc\u30c3\u30c8\u3067\u652f\u63f4\u3059\u308b.<em>\u7b2c3\u56de\u8133\u30d7\u30ed\u516c\u958b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 \u672a\u6765\u3092\u62d3\u304f\u8133\u79d1\u5b66\u7814\u7a76.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3 (2011). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u3067\u30ed\u30dc\u30c3\u30c8\u3092\u5236\u5fa1\u3059\u308b.<em>\u7b2c3\u56de\u8133\u30d7\u30ed\u516c\u958b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 \u672a\u6765\u3092\u62d3\u304f\u8133\u79d1\u5b66\u7814\u7a76.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Yamaguchi, A., Hyon, S., Ogasawara, T. (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Reinforcement learning for balancer embedded humanoid locomotion.<em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Robot learning and brain-robot interface.<em>\u7b2c12\u56de\u65e5\u7c73\u5148\u7aef\u79d1\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(JAFoS2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30c8\u30eb\u30af\u5236\u5fa1\u304c\u53ef\u80fd\u306a\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u99c6\u52d5\u5f0f\u8efd\u91cf\u6b69\u884c\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a.<em>\u7b2c11\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a(SI2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u539f\u5d07\u5145, \u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u500b\u6027\u3092\u8003\u616e\u3057\u305f\u30aa\u30f3\u30e9\u30a4\u30f3\u904b\u52d5\u4e88\u6e2c:\u5468\u671f\u7684\u30fb\u96e2\u6563\u7684\u306a\u5168\u8eab\u904b\u52d5\u3078\u306e\u9069\u7528.<em>\u7b2c11\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a(SI2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Manoonpong, P., Worgotter, F., Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Extraction of reward-related feature space using correlation-based and reward-based learning methods. <em>17th International Conference on Neural Information Processing(ICONIP2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Morimura, T., Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Adaptive step-size policy gradients with average reward metric. <em>The 2nd Asian Conference on Machine Learning(ACML2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3, \u91ce\u7530\u667a\u4e4b, \u7384\u76f8\u660a (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">[\u30dd\u30b9\u30bf\u30fc\u8b1b\u6f14]\u30d2\u30c8\u3068\u904b\u52d5\u30a2\u30b7\u30b9\u30c8\u30ed\u30dc\u30c3\u30c8\u306b\u304a\u3051\u308b\u5171\u901a\u306e\u72b6\u614b\u7a7a\u9593\u306e\u62bd\u51fa \u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1\u3078\u306e\u5fdc\u7528.<em>\u7b2c13\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7(IBIS2010))\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a(IEICE Technical Report).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning parametric dynamic movement primitives from multiple demonstrations.<em>17th International Conference on Neural Information(ICONIP2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning stylistic dynamic movement primitives from multiple demonstrations.<em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS 2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Extraction of common representation shared by neural activities and movements, and its application to brain-robot interface.<em>DFG-Workshop &#8220;&#8221;Linking Neuroscience to Robotics:How complex Machines Benefit from Brain Theory&#8221;&#8221;.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Cho, B., Oh, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Practical experiment of balancing for a hopping humanoid biped against various disturbances.<em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J.(2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Extraction of common representation shared by neural activities and movements, and its application to brain-robot interface.<em>\u65e5\u672c\u5074\u4e8b\u524d\u691c\u8a0e\u4f1a \u7b2c12\u56de\u65e5\u7c73\u5148\u7aef\u79d1\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(JAFoS2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u540c\u671f\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u7528\u3044\u305f\uff12\u8db3\u6b69\u884c\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1.<em>Kagoshima Workshop on Nonlinear &amp; Nonequilibrium Dyanamics.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Noda, T., Fasel, I., Ishiguro, H. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Classifying tactile sensation of whole-body robot skin based on localization hypothesis.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S., Morimoto, J., Kawato, M. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Development of a P-E hybrid exoskeleton robot for walking and postural rehabilitation.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., Hyon, S., Kawato, M. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">eMOSAIC model for humanoid robot control.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Matsubara, T., Hyon, S., Morimoto, J. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">On-line stylistic prediction for human periodic motions.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Ariki, Y., Hyon, S., Morimoto, J.(2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Extraction of movement primitives without explicit labeling for imitation learning.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., Umeda, T., Sakatani, T., Isa, T., Kawato, M. (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Estimation of common features shared by multiple sensor data including neural recordings.<em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u677e\u539f\u5d07\u5145, \u7384\u76f8\u660a, \u68ee\u672c\u6df3, (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u904b\u52d5\u5b66\u7fd2\u30d7\u30ea\u30df\u30c6\u30a3\u30d6:\u898f\u7bc4\u8ecc\u9053\u306e\u591a\u69d8\u6027\u3092\u8003\u616e\u3057\u305f\u898b\u307e\u306d\u5b66\u7fd2.<em>\u7b2c28\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Tanaka, F., Noda, T.(2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Telerobotics connecting classrooms between Japan and US: a project overview. <em>19th IEEE International Symposium in Robot and Human Interactive Communication(Ro-man2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Sugimoto, N., Morimoto, J., Hyon, S., Kawato, M.(2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">eMOSAIC model for humanoid robot control.<em>International Conference on Simulation of Adaptive Behavior(11th SAB2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3, \u91ce\u7530\u667a\u4e4b (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u306e\u4fe1\u53f7\u3067\u30ed\u30dc\u30c3\u30c8\u3092\u9060\u9694\u64cd\u4f5c\u3059\u308b. <em>Neuro2010\u5e02\u6c11\u516c\u958b\u8b1b\u5ea7\u300c\u793e\u4f1a\u306b\u5e83\u304c\u308b\u8133\u79d1\u5b66\u300d.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S., Morimoto, J., Kawato, M. (2010). <\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG. <em>IEEE International Conference on Robotics and Automation(ICRA2010).<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Hyon, S. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Passivity-based force\/torque control for hydraulic humanoid robots. <em>IEEE International Conference on Robotics and Automation (ICRA2010) Workshops.<\/em><\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u91ce\u7530\u667a\u4e4b (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u672a\u6765\u3092\u5909\u3048\u308b\u30ed\u30dc\u30c3\u30c8\u3092\u3042\u306a\u305f\u3068\u5171\u306b\uff1a\u5168\u8eab\u5206\u5e03\u89e6\u899a\u3068\u8133\u30ed\u30dc\u30c3\u30c8\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9. <em>\u7b2c46\u56deVBL\u30bb\u30df\u30ca\u30fc\u300c\u672a\u6765\u30ed\u30dc\u30c3\u30c8\u3092\u3042\u306a\u305f\u3068\u5171\u306b\u300d<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Manoonpong, P. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Modular neural control and learning for locomotion &amp; adaptation of robots:towards life-like robots. <em>BCCN Sonderseminar<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Thorson, I. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Concurrency and the evils of mutability . <em>AIST-CNRS<\/em><em>\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u9023\u643a\u7814\u7a76\u4f53\u4e3b\u50ac\u7814\u7a76\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Manoonpong, P. (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Adaptive walking machines under neural control and learning . <em>AIST-CNRS<\/em><em>\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u9023\u643a\u7814\u7a76\u4f53\u4e3b\u50ac\u7814\u7a76\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30f3\u30ed\u30dc\u30c3\u30c8\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u500b\u4eba\u9069\u5fdc\u578b\u30aa\u30f3\u30e9\u30a4\u30f3\u4eba\u52d5\u4f5c\u4e88\u6e2c <em>\u7b2c15\u56de\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30b7\u30f3\u30dd\u30b8\u30a2<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a, \u68ee\u672c\u6df3, \u57ce\u57a3\u5185\u525b, \u68ee\u60a6\u5b8f, \u6c34\u4e95\u6674\u6b21, \u5ddd\u4eba\u5149\u7537 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6b69\u884c\u30fb\u59ff\u52e2\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u7a7a\u96fb\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u5f0f\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u306e\u63d0\u6848 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a(IEICE Technical Report)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2010).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u3068\u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9 <em>\u7b2c22\u56de\u30d0\u30a4\u30aa\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning external forces for Human-Humanoid Interaction . <em>Workshop for Young Researchers on Human-Friendly Robotics<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Force-controlled human-robot interaction: case study using humanoid agent . <em>German Aerospace Center(DLR),Institute of Robotics and Mechatronics discussion meeting <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Human-robot interaction and safety control. <em>Discussion talk on human-robot interaction<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Endo, G., Hyon, S., Cheng, G. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A simple approach to diverse humanoid locomotion . <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2007)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30c8\u306b\u306a\u3089\u3063\u305f\u5236\u5fa1\u30e1\u30ab\u30cb\u30ba\u30e0 <em>ATR\u30aa\u30fc\u30d7\u30f3\u30cf\u30a6\u30b92009 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u3067\u30ed\u30dc\u30c3\u30c8\u3092\u5236\u5fa1\u3059\u308b <em>ATR\u30aa\u30fc\u30d7\u30f3\u30cf\u30a6\u30b92009 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9769\u65b0\u7684\u30d1\u30ef\u30fc\u30b9\u30fc\u30c4\u30fb\u5236\u5fa1\u6280\u8853\u306e\u958b\u767a <em>\u7b2c\uff12\u56de\u6176\u61c9\u8133\u79d1\u5b66\u30bb\u30df\u30ca\u30fc <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9769\u65b0\u7684\u5916\u9aa8\u683c\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1\u6280\u8853\u306e\u958b\u767a\uff08\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u90e8\u5206\u306e\u691c\u8a0e\uff09 <em>\u7b2c\uff12\u56de\u6176\u61c9\u8133\u79d1\u5b66\u30bb\u30df\u30ca\u30fc <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u500b\u6027\u3092\u8003\u616e\u3057\u305f\u5468\u671f\u7684\u5168\u8eab\u904b\u52d5\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u4e88\u6e2c <em>\u7b2c12\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7(IBIS2009) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Osu, R., Otaka, Y., Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Push-recovery strategies implemented on a compliant humanoid robot. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\uff08Neuroscience2009\uff09<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Fujimoto, K. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Invariant manifold of symmetric orbits for globally optimal biped locomotion . <em>International IFAC Symposium on Robot Control(9th SYROCO2009)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a, \u677e\u539f\u5d07\u5145 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u90e8\u5206\u7a7a\u9593\u6cd5\u3068\u91cd\u529b\u88dc\u511f\u306b\u3088\u308b\u904b\u52d5\u30a2\u30b7\u30b9\u30c8\u306e\u30e2\u30c7\u30eb\u63a8\u5b9a <em>\u7b2c27\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u500b\u6027\u3092\u8003\u616e\u3057\u305f\u5468\u671f\u7684\u5168\u8eab\u904b\u52d5\u306e\u4e88\u6e2c <em>\u7b2c27\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6b69\u884c\u4e2d\u306e\u30b5\u30eb\u306e\u8133\u6d3b\u52d5\u304b\u3089\u306e\u4f4d\u76f8\u60c5\u5831\u62bd\u51fa\u3068\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u306e\u6b69\u884c\u5236\u5fa1 <em>\u7b2c27\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Hyon, S., Kawato, M. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Feature extraction for task relevant system identification . <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\uff08Neuroscience2009\uff09<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Sugimoto, N., Hyon, S., Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Hierarchical reinforcement learning for biped locomotion . <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\uff08Neuroscience2009\uff09<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Modulation of walking patterns of a biped robot by using brain activity extracted from monkey&#8217;s primary motor cortex . <em>Frontiers in Dynamical Brain Studies<\/em><em> \u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Autonomous learning and 3-D vision on humanoid robots . <em>\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Hierarchical learning architectures for motor control: application to learning stand-up and walking behaviors. <em>Robotics:Science and Systems(RSS2009)Workshop <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Oztop, E. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Active 3-D vision on a humanoid head . <em>International Conference on Advanced Robotics(14th ICAR2009)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u3066\u69d8\u3005\u306a\u8ca0\u8377\u74b0\u5883\u306b\u304a\u3051\u308b\u59ff\u52e2\u8abf\u7bc0\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u63a2\u6c42\u3059\u308b <em>\u7b2c46\u56de\u65e5\u672c\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u533b\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u306e\u5168\u8eab\u904b\u52d5\u5236\u5fa1 <em>\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u3000\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1 \u30bc\u30df\u30ca\u30fc\u30eb\u8b1b\u6f14<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Biped walking control of a humanoid robot by using monkey&#8217;s brain activity . <em>\u65e5\u72ec\u8a08\u7b97\u8ad6\u7684\u795e\u7d4c\u79d1\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u59ff\u52e2\u3068\u6b69\u884c\u306e\u968e\u5c64\u5236\u5fa1 <em>\u7b2c53\u56de\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5197\u9577\u30ed\u30dc\u30c3\u30c8\u306e\u95a2\u7bc0\u8ecc\u9053\u3092\u7528\u3044\u305f\u904b\u52d5\u5b66\u7fd2 <em>\u7b2c53\u56de\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Osu, R., Otaka, Y. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Integration of multi-level postural balancing on humanoid robots . <em>IEEE International Conference on Robotics and Automation (ICRA2009) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Iterative learning of dynamic full-body motions anchored by joint trajectories . <em>IEEE International Conference on Robotics and Automation (ICRA2009) Workshops<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">System identification of task relevant dynamics . <em>IEEE International Conference on Robotics and Automation (ICRA2009) Workshop<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Using monkey&#8217;s brain activity for biped walking control of a humanoid robot . <em>IEEE International Conference on Robotics and Automation (ICRA2009) Workshop<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2009).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u67d4\u3089\u304b\u3044\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u306e\u52d5\u7684\u904b\u52d5\u5236\u5fa1 <em>\u5927\u962a\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u57fa\u790e\u7814\u7a76\u65bd\u8a2d\u4e3b\u50ac\u300c\u7b2c6\u56de\u77e5\u80fd\u30ed\u30dc\u30c3\u30c8\u306e\u6700\u524d\u7dda(6)\u300d <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Moren, J., Cheng, G. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Humanoid batting with bipedal balancing. <em>IEEE\/RAS International Conference on Humanoid Robots(Humanoids2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Herzog, D., Ude, A., Kruger, V. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Motion imitation and recognition using parametric hidden markov models . <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u884c\u52d5\u5b66\u7fd2\u306e\u305f\u3081\u306e\u7279\u5fb4\u62bd\u51fa <em>\u7b2c11\u56de\u60c5\u5831\u8ad6\u7406\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\uff08IBIS2008) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Satoh, S., Fujimoto, K., Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A framework for optimal gait generation via learning optimal control using virtual constraint . <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2008) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ariki, Y., Morimoto, J., Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Behavior recognition with ground reaction force estimation and its application to imitation learning . <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u306e\u59ff\u52e2\u5236\u5fa1\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf <em>\u7b2c26\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Moren, J., Kawato, M. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Toward humanoid batting: Prediction and fast coordinated motion . <em>\u7b2c26\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u884c\u52d5\u5b66\u7fd2\u306e\u305f\u3081\u306e\u7279\u5fb4\u62bd\u51fa <em>ERATO\u6d45\u7530\u5171\u5275\u77e5\u80fd\u30b7\u30b9\u30c6\u30e0\u30d7\u30ed\u30b8\u30a7\u30af\u30c8 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8133\u60c5\u5831\u3092\u7528\u3044\u305f\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1 <em>\u7b2c8\u56de\u672a\u6765\u533b\u7642\u533b\u5de5\u9023\u643a\u5036\u697d\u90e8 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Low-dimensional feature extraction for policy improvement . <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2008) Workshop <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ohtake, S., Yamakita, M., Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Control of underactuated biped running robot via synchronous oscillator . <em>International Conference on Instrumentation, Control and Information Technology(SICE Annual Conference 2008) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Satoh, S., Fujimoto, K., Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Biped gait generation via iterative learning control including discrete state transitions . <em>International Federation of Automatic Control (IFAC), The 17th IFAC World Congress <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A model of dynamic posture control based on a static synergy and its empirical validation on a humanoid robot . <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ariki, Y., Morimoto, J., Hyon, S. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Behavior recognition with ground reaction force estimation and its application to imitation learning . <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Endo, G., Cheng, G. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Using a synchronization mechanism for humanoid locomotion. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u6700\u9069\u8377\u91cd\u914d\u5206\u306b\u3088\u308b\u59ff\u52e2\u5236\u5fa1\u3068\u691c\u8a3c\u5b9f\u9a13 <em>\u7b2c1\u56de\u6708\u9762\u6ede\u5728\u30df\u30c3\u30b7\u30e7\u30f3\u306b\u5fc5\u8981\u306a\u904b\u52d5\u751f\u7406\u5b66\u306b\u95a2\u3059\u308b\u52c9\u5f37\u4f1a\uff08\u5b87\u5b99\u822a\u7a7a\u7814\u7a76\u958b\u767a\u6a5f\u69cbJAXA\uff09 <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u306e\u52d5\u7684\u904b\u52d5\u5236\u5fa1 <em>\u7acb\u547d\u9928\u5927\u5b66 \u67d4\u8edf\u4f53\u306e\u89b3\u6e2c\u30fb\u64cd\u4f5c\u306e\u7d71\u5408\u5b66\u5275\u751f\u7814\u7a76\u4f1a <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Hyon, S., Atkeson, C. G., Cheng, G. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Low-dimensional feature extraction for humanoid locomotion using kernel dimension reduction . <em>IEEE International Conference on Robotics and Automation(ICRA2008) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Cheng, G., Hyon, S., Ude, A., Morimoto, J., Hale, J. G., Nakanishi, J., Hart, J., Bentivegna, D., Hodgins, J., Atkeson, C. G., Mistry, M., Schaal, S., Kawato, M. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">CB: Exploring neuroscience with a humanoid research platform . <em>IEEE International Conference on Robotics and Automation(ICRA2008)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Morimoto, J., Cheng, G. (2008).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Hierarchical motor learning and synthesis with passivity-based controller and phase oscillator. <em>IEEE International Conference on Robotics and Automation (ICRA2008)\/Proccedings<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3 (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5e73\u5747\u5831\u916c\u306e\u591a\u69d8\u4f53\u306b\u57fa\u3065\u304f\u65b9\u7b56\u52fe\u914d\u6cd5 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a\u66f8<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Cheng, G., Fitzsimmons, N., Morimoto, J., Lebedev, M., Kawato, M., Nicolelis, M. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Bipedal locomotion with a humanoid robot controlled by cortical ensemble activity . <em>Society for Neuroscience 37th Annual Meeting (Neuroscience 2007) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Simultaneous adaptation to rough terrain and unknown external forces for biped humanoids . <em>IEEE-RAS International Conference on Humanoid Robots (Humanoids2007)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Riley, M., Nemec, B., Kos, A., Asfour, T., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Synthesizing goal-directed actions from a library of example movements . <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2007)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Implementation of a coupled oscillator model for biped walking. <em>ICORP Collaboration Workshop <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Stochastic model-based reinforcement learning for biped locomotion . <em>IEEE-RAS International Conference on Humanoid Robots(Humanoids2007) Workshop:Towards the Realisation of the Computational Brain with Humanoid Robots <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Atkeson, C. G., Endo, G., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression . <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems(IROS 2007) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3 (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u9006\u904b\u52d5\u5b66\u554f\u984c\u306b\u304a\u3051\u308b\u81ea\u7136\u52fe\u914d\u6cd5\u3068\u30e4\u30b3\u30d3\u30a2\u30f3\u306e\u7591\u4f3c\u9006\u884c\u5217\u306b\u57fa\u3065\u304f\u89e3\u6cd5\u306e\u7b49\u4fa1\u6027 <em>\u7b2c 25 \u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u4e38\u5c71\u6df3\u4e00, \u7384\u76f8\u660a, \u68ee\u672c\u6df3 (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4eba\u9593\u52d5\u4f5c\u3088\u308a\u62bd\u51fa\u3055\u308c\u308b\u4f4e\u6b21\u5143\u7279\u5fb4\u7a7a\u9593\u306b\u304a\u3051\u308b\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u306e\u5168\u8eab\u904b\u52d5\u5236\u5fa1 <em>\u7b2c 25 \u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a, Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5197\u9577\u81ea\u7531\u5ea6\u3092\u6709\u3059\u308b\u811a\u5f0f\u30ed\u30dc\u30c3\u30c8\u306e\u5b9f\u7528\u7684\u306a\u63a5\u89e6\u529b\u5236\u5fa1\u624b\u6cd5\u3068\u30d0\u30e9\u30f3\u30b9\u5236\u5fa1\u3078\u306e\u5fdc\u7528 <em>\u7b2c 25 \u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u6709\u6728\u7531\u9999, \u68ee\u672c\u6df3, \u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u52d5\u4f5c\u8a8d\u8b58\u306b\u304a\u3051\u308b\u5e8a\u53cd\u529b\u60c5\u5831\u306e\u63a8\u5b9a\u3068\u898b\u307e\u306d\u5b66\u7fd2\u3078\u306e\u9069\u7528 <em>\u7b2c 25 \u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a, \u77e2\u30f6\u5d0e\u4e00\u5e78, \u85e4\u672c\u5065\u6cbb, Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4e8c\u91cd\u632f\u5b50\u7cfb\u306e\u5bfe\u79f0\u8ecc\u9053\u65cf\u3068\u6700\u9069\u6b69\u884c\u5236\u5fa1\u3078\u306e\u5fdc\u7528 <em>\u7b2c 36 \u56de\u5236\u5fa1\u7406\u8ad6\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u4f50\u85e4\u8a13\u5fd7, \u85e4\u672c\u5065\u6cbb, \u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u4eee\u60f3\u62d8\u675f\u3068\u5b66\u7fd2\u6700\u9069\u5236\u5fa1\u3092\u7528\u3044\u305f\u6700\u9069\u6b69\u5bb9\u306e\u751f\u6210\u624b\u6cd5 <em>\u7b2c 36 \u56de\u5236\u5fa1\u7406\u8ad6\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Trifa, V. M., Koene, A., Moren, J., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Real-time acoustic source localization in noisy environments for human-robot multimodal interaction . <em>IEEE International Symposium on Robot and Human Interactive Communication(16th RO-MAN2007) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cf\u30df\u30eb\u30c8\u30f3\u7cfb\u306e\u5bfe\u79f0\u6027\u3092\u5229\u7528\u3057\u305f\u8d70\u6b69\u884c\u30ed\u30dc\u30c3\u30c8\u306e\u5236\u5fa1 <em>NLPM\u30bb\u30df\u30ca\u30fc <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5bfe\u79f0\u6027\u3068\u53d7\u52d5\u6027\u306b\u57fa\u3065\u304f\u6b69\u5bb9\u751f\u6210\u3068\u5b89\u5b9a\u5316\u5236\u5fa1 <em>\u300c\u6b69\u884c\u306e\u6570\u7406\u300d\u7814\u7a76\u4f1a <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u4e38\u5c71\u6df3\u4e00, \u677e\u539f\u5d07\u5145, \u4e2d\u897f\u6df3, \u68ee\u672c\u6df3 (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30b9\u30c6\u30c3\u30d4\u30f3\u30b0\u306b\u3088\u308b\u8ee2\u5012\u56de\u907f\u52d5\u4f5c\u306e\u5b66\u7fd2 <em>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2007\uff08ROBOMEC2007 in Akita\uff09<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Full-body force control of humanoids: Physical interaction with balance. <em>IEEE International Conference on Robotics and Automation (ICRA2007) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T., Morimoto, J., Nakanishi, J., Hyon, S., Hale, J. G., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks. <em>IEEE International Conference on Robotics and Automation (ICRA2007) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cf\u30df\u30eb\u30c8\u30f3\u7cfb\u306b\u57fa\u3065\u304f\u52d5\u7684\u811a\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u5236\u5fa1 <em>\u7b2c9\u56de\u6a5f\u68b0\u5de5\u5b66\u306b\u304a\u3051\u308b\u529b\u5b66\u7cfb\u7406\u8ad6\u306e\u5fdc\u7528\u306b\u95a2\u3059\u308b\u7814\u7a76\u4f1a <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Cheng, G. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Passivity-based contact force control and push recovery for biped humanoid robots . <em>\u7b2c\uff17\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u5927\u4f1a\/Program <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u4f50\u85e4\u8a13\u5fd7, \u85e4\u672c\u5065\u6cbb, \u7384\u76f8\u660a (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30b3\u30f3\u30d1\u30b9\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u6700\u9069\u306a\u5e73\u5730\u6b69\u884c\u8ecc\u9053\u306e\u751f\u6210\u306b\u3064\u3044\u3066 <em>\u7b2c\uff17\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u5927\u4f1a\/Program <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1 <em>JNNS-DEX-SMI\u516c\u958b\u8b1b\u5ea7\u300c\u795e\u7d4c\u56de\u8def\u7db2\u306e\u7406\u8ad6\u5c55\u958b\u3068\u6700\u5148\u7aef\u5fdc\u7528\u300d <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Full-body balance control on CB . <em>JST-ATR-CMU<\/em><em> Joint Workshop <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T. (2007).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks . <em>JST-ATR-CMU<\/em><em> Joint Workshop <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Welke, K., Oztop, E., Ude, A., Dillmann, R., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning feature representations for an object recognition system . <em>IEEE-RAS International Conference on Humanoid Robots (Humanoids 2006)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Gravity compensation and full-body balancing for humanoid robots. <em>IEEE-RAS International Conference on Humanoid Robots (Humanoids 2006)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Cheng, G., Hyon, S., Morimoto, J., Ude, A., Colvin, G., Scroggin, W., Jacobsen, S. C. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">CB: A humanoid research platform for exploring neuroscience. <em>IEEE-RAS International Conference on Humanoid Robots (Humanoids 2006)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Riley, M., Ude, A., Atkeson, C. G., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Coaching: An approach to efficiently and intuitively create humanoid robot behaviors. <em>IEEE-RAS International Conference on Humanoid Robots (Humanoids 2006)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Sensorimotor primitives for building object representations . <em>IEEE-RAS International Conference on Humanoid Robotics(Humanoids 2006) Workshop on Towards Cognitive Humanoid Robots <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T., Morimoto, J., Nakanishi, J., Hyon, S., Hale, J. G., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks with a policy gradient method . <em>Twentieth Annual Conference on Neural Information Processing Systems Workshop: Towards a New Reinforcement Learning? <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3 (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u8a08\u7b97\u8ad6\u7684\u795e\u7d4c\u79d1\u5b66\u3068\u30ed\u30dc\u30c6\u30a3\u30af\u30b9 <em>\u8352\u6728\u5343\u91cc\u8a18\u5ff5\u8133\u5916\u79d1\u75c7\u4f8b\u691c\u8a0e\u7814\u7a76\u4f1a \u7b2c25\u56de\u6b73\u672b\u8b1b\u6f14\u4f1a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Hyon, S., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Passivity-based full-body force control for humanoids and application to dynamic balancing and locomotion. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2006) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Satoh, S., Fujimoto, K., Hyon, S. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Gait generation for passive running via iterative learning control. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2006) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Takahashi, T., Yamashita, M., Hyon, S. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An optimization approach for underactuated running robot. <em>SICE-ICASE International Joint Conference 2006 (SICE-ICCAS 2006)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308b\u81ea\u7136\u65b9\u7b56\u52fe\u914d\u306e\u63a8\u5b9a\u6cd5 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Satoh, S., Fujimoto, K., Hyon, S. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Gait generation for a hopping robot via iterative learning control based on variational symmetry. <em>International Federation of Automatic (IFAC), 3rd Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control (LHMNLC06) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u6709\u6728\u7531\u9999, \u68ee\u672c\u6df3 (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5e8a\u53cd\u529b\u60c5\u5831\u3068\u30e2\u30fc\u30b7\u30e7\u30f3\u30ad\u30e3\u30d7\u30c1\u30e3\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u4eba\u9593\u306e\u52d5\u4f5c\u8a8d\u8b58 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a, \u85e4\u672c\u5065\u6cbb (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cf\u30df\u30eb\u30c8\u30cb\u30a2\u30f3\u30ed\u30b3\u30e2\u30fc\u30b7\u30e7\u30f3 <em>\u7b2c \uff16 \u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u5927\u4f1a(CCS2006) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u7384\u76f8\u660a (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30cf\u30df\u30eb\u30c8\u30f3\u7cfb\u306b\u57fa\u3065\u304f\u52d5\u7684\u811a\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u5236\u5fa1 <em>\u6570\u7406\u7814\u7814\u7a76\u96c6\u4f1a\uff08RIMS\uff09\u3000\u529b\u5b66\u7cfb\u7406\u8ad6\u306e\u6700\u8fd1\u306e\u767a\u5c55<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u4f50\u85e4\u8a13\u5fd7, \u85e4\u672c\u5065\u6cbb, \u7384\u76f8\u660a (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5909\u5206\u5bfe\u79f0\u6027\u306b\u57fa\u3065\u304f1\u811a\u30ed\u30dc\u30c3\u30c8\u306e\u6700\u9069\u6b69\u5bb9\u751f\u6210 <em>\u7b2c 6 \u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u5236\u5fa1\u90e8\u9580\u5927\u4f1a(SICE) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Endo, G., Nakanishi, J., Hyon, S., Cheng, G., Bentivegna, D. C., Atkeson, C. G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Modulation of simple sinusoidal patterns by a coupled oscillator model for biped walking. <em>IEEE International Conference on Robotics and Automation (ICRA2006) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Gaskett, C., Cheng, G. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Foveated vision systems with two cameras per eye. <em>IEEE International Conference on Robotics and Automation (ICRA2006) <\/em><em>\uff08\uff09<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Azad, P., Ude, A., Asfour, T., Cheng, G., Dillmann, R. (2006).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Image-based markerless 3d human motion capture using multiple cues. <em>International Workshop on Vision Based Human-Robot Interaction <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning CPG-based biped locomotion with a policy gradient method. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids 2005) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Wyart, V., Lin, L., Cheng, G. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Distributed visual attention on a humanoid robot. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids 2005) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u9580\u8107\u5343\u667a, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u5927\u9ad8\u6d0b\u5e73, \u5ddd\u4eba\u5149\u7537 (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u4e8c\u8db3\u6b69\u884c\u306e\u305f\u3081\u306e\u4f4d\u76f8\u53cd\u5fdc\u66f2\u7dda\u306e\u5b66\u7fd2 <em>\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a \u7b2c 15 \u56de\u5168\u56fd\u5927\u4f1a\uff08JNNS2005)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning sensory feedback to CPG with a policy gradient method and its application to real robot. <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c 6 \u56de\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Endo, G., Morimoto, J., Matsubara, T., Nakanishi, J., Cheng, G. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning CPG sensory feedback with policy gradient for biped locomotion for a full body humanoid. <em>The Twentieth National Conference on Artificial Intelligence (AAAI-05)<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning and adaptation of biped locomotion with dynamical movement primitives. <em>Robotics: Science and Systems, Workshop on Learning for Locomotion<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Nakanishi, J., Endo, G., Cheng, G., Atkeson, C. G., Zeglin, G., Matsubara, T. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Model-based and model-free reinforcement learning methods for biped walking. <em>Robotics: Science and Systems, Workshop on Learning for Locomotion<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning sensory feedback to CPG with policy gradient for biped locomotion. <em>IEEE International Conference on Robotics and Automation (ICRA2005) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Nakanishi, J., Endo, G., Cheng, G., Atkeson, C. G., Zeglin, G. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Poincare-map-based reinforcement learning for biped walking. <em>IEEE International Conference on Robotics and Automation (ICRA2005) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Endo, G., Nakanishi, J., Morimoto, J., Cheng, G. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Experimental studies of a neural oscillator for biped locomotion with QRIO. <em>IEEE International Conference on Robotics and Automation (ICRA2005) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Cheng, G. (2005).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Making use of foveated vision on a humanoid robot. <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c 5 \u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A framework for learning biped locomotion with dynamical movement primitives. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Nakanishi, J., Endo, G., Cheng, G., Atkeson, C. G., Zeglin, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Acquisition of biped walking policy using an approximate poincare map. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Azad, P., Ude, A., Dillmann, R., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A full body human motion capture system using particle filtering and on-fly-edge detection. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Object recognition on humanoids with foveated vision. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Gaskett, C., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Support vector machines and Gabor Kernels for object recognition on a humanoid with active foveated vision. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u4e2d\u897f\u6df3, \u68ee\u672c\u6df3, \u9060\u85e4\u7384, Cheng, G., Schaal, S. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u904b\u52d5\u5b66\u7fd2\u30d7\u30ea\u30df\u30c6\u30a3\u30d6\u3092\u7528\u3044\u305f\uff12\u8db3\u6b69\u884c\u306e\u5b66\u7fd2\u304a\u3088\u3073\u9069\u5fdc <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u3000\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a Robomec&#8217;04<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\uff12\u8db3\u6b69\u884c\u904b\u52d5\u306e\u305f\u3081\u306e\u52d5\u7684\u884c\u52d5\u5247\u306e\u7372\u5f97 <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u3000\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a Robomec&#8217;04<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u9060\u85e4\u7384, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u795e\u7d4c\u632f\u52d5\u5b50\u3092\u7528\u3044\u305f\u4e8c\u8db3\u6b69\u884c\u904b\u52d5\u306e\u5b9f\u9a13\u7684\u691c\u8a0e <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u3000\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a Robomec&#8217;04<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u9060\u85e4\u7384, Atkeson, C., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u5f37\u5316\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e8c\u8db3\u6b69\u884c\u904b\u52d5\u306e\u7372\u5f97 <em>\u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u3000\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a Robomec&#8217;04<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Endo, G., Morimoto, J., Nakanishi, J., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">An empirical exploration of a neural oscillator for biped locomotion control. <em>IEEE International Conference on Robotics and Automation (ICRA2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Zeglin, G., Atkeson, C. G., Cheng, G. (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">A simple reinforcement learning algorithm for biped walking. <em>IEEE International Conference on Robotics and Automation (ICRA2004) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2004).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u65b9\u7b56\u65ec\u914d\u6cd5\u3092\u7528\u3044\u305f\u52d5\u7684\u884c\u52d5\u5247\u306e\u7372\u5f97\uff1a\u4e8c\u8db3\u6b69\u884c\u904b\u52d5\u3078\u306e\u9069\u7528 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Zeglin, G., Atkeson, C. G. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Minimax differential dynamic programming: Application to a biped walking robot. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2003) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Ude, A., Atkeson, C. G., Cheng, G. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Combining peripheral and foveal humanoid vision to detect, pursue, recognize and act. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2003) <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Learning from demonstration and adaptation of biped locomotion with dynamical movement primitives. <em>IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2003) Workshop on Robot Programming Through Demonstration <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"> <strong>\u68ee\u672c\u6df3, \u9285\u8c37\u8ce2\u6cbb, Atkeson, C. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u89b3\u6e2c\u8ecc\u9053\u3092\u57fa\u306b\u3057\u305f\u904b\u52d5\u306e\u6700\u9069\u5316 \u8d77\u7acb\u904b\u52d5\u3001\u6b69\u884c\u904b\u52d5\u3078\u306e\u9069\u7528 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong> Morimoto, J., Atkeson, C. G. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Minimax differential dynamic programming : an application to a biped walking robot. <em>SICE Annual Conference 2003 (SICE 2003) in Fukui <\/em>.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., Zeglin, G., Atkeson, C. G. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Minmax differential dynamic programming: application to a biped walking robot. IEEE\/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, USA.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Riley, M., Ude, A., Wade, K., Atkeson, C. G. (2003).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Enabling real-time full-body imitation: a natural way of transferring human movement to humanoids. IEEE International Conference on Robotics and Automation.<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto, J., Atkeson, C. (2002).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Minimax differential dynamic programming: An application to robust biped walking. Neural Information Processing Systems 2002, Vancouver, Canada<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3\uff0c\u5bae\u8170\u6e05\u4e00\uff0cAtkeson, C.G.,\u4e2d\u897f\u6df3\uff0cCheng, G.\u3000(2002).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">\u30d2\u30e5\u30fc\u30de\u30ce\u30a4\u30c9\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u4eba\u9593\u306e\u611f\u899a\u904b\u52d5\u6a5f\u69cb\u306b\u95a2\u3059\u308b\u7814\u7a76. \u5e73\u621014\u5e74 \u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u95a2\u897f\u652f\u90e8\u9023\u5408\u5927\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>\u68ee\u672c\u6df3\uff0c\u5bae\u8170\u6e05\u4e00\uff0cAtkeson, C.G.,\u4e2d\u897f\u6df3\uff0cCheng, G.\u3000(2002).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">2\u8db3\u6b69\u884c\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6b69\u884c\u904b\u52d5\u306e\u5b66\u7fd2\uff0c\u751f\u6210\u304a\u3088\u3073\u89e3\u6790\u306b\u95a2\u3059\u308b\u7814\u7a76.<br \/>\n\u5e73\u621014\u5e74 \u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u95a2\u897f\u652f\u90e8\u9023\u5408\u5927\u4f1a\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(in Japanese)<\/span><\/p>\n<ul>\n<li><span style=\"font-family: helvetica;\"><strong>Morimoto J., Atkeson, C. G. (2002).<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: helvetica;\">Robust low torque biped walking using differential dynamic programming with a minimax criterion. CLAWAR 2002, September 25-29, 2002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Noda T. (2025\/04). Training neuro-rehabilitation+ KGAP+(Keihanna Global Acceleration Program Plus) DAY \u2013 Batch 12 DemoDay \u2013 Junge K. C., Noda T., Hughes J. (2025\/04). Mod-VSA: A Modular Variable Stiffness Actuator for Multi-fingered Robotic Hands 8th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2025) \u5e02\u539f \u6709\u751f\u5e0c\u3001\u9663\u5185 \u4f51\u3001\u87fb\u751f \u958b\u4eba\u3001\u68ee\u6751 \u54f2\u90ce\u3001\u5185\u90e8 \u82f1\u6cbb (2025\/03). \u30c6\u30ad\u30b9\u30c8\u751f\u6210\u306b\u304a\u3051\u308b\u6700\u5c0f\u30d9\u30a4\u30ba\u30ea\u30b9\u30af\u5fa9\u53f7\u306e\u7406\u8ad6\u7684\u306a\u7406\u89e3\u306b\u5411\u3051\u3066 \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c31\u56de\u5e74\u6b21\u5927\u4f1a \uff08NLP2025\uff09 \u5ca1\u91ce \u5b8f\u7d00\u3001\u9ad8\u4e95 \u98db\u9ce5 (2025\/03). \u4e8b\u8c61\u95a2\u9023\u8131\u540c\u671f\u306b\u3088\u308b\u30d1\u30ef\u30fc\u306e\u6642\u9593\u52fe\u914d\u3092\u7528\u3044\u305f\u904b\u52d5\u60f3\u50cf\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u8a13\u7df4\u306e\u691c\u8a0e \u30e9\u30a4\u30d5\u30b5\u30dd\u30fc\u30c8\u5b66\u4f1a \u7b2c34\u56de\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u8b1b\u6f14\u4f1a \u4f50\u3005\u6728 \u82f1\u5922\u3001\u5409\u7530 \u5065\u4eba\u3001\u4e2d\u5ddd \u62d3\u6d77\u3001\u677e\u672c \u660e\u5927\u3001\u7027\u53e3 \u8ff0\u5f18\u3001\u5bfa\u524d \u9054\u4e5f\u3001\u91ce\u7530 \u667a\u4e4b (2025\/02). \u5065\u5e38\u4eba\u306b\u5bfe\u3059\u308b\u96fb\u6c17\u523a\u6fc0\u3092\u7528\u3044\u305f\u6b69\u884c\u5909\u5bb9\u306e\u691c\u8a3c -\u75bc\u75db\u6050\u6016\u306b\u7740\u76ee\u3057\u3066 \u65e5\u672c\u7269\u7406\u7642\u6cd5\u5408\u540c\u5b66\u8853\u5927\u4f1a2025 Tsuda A., Manalo E., Teramae T., Noda T. (2025\/02). Exploring the effects of goal focus on self-consciousness in assisted motor skill training The Society for Personality and Social Psychology 25th Annual Convention (SPSP2025) Shi J., Yagi S., Yamamori [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":782,"menu_order":3,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-789","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/pages\/789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/comments?post=789"}],"version-history":[{"count":19,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/pages\/789\/revisions"}],"predecessor-version":[{"id":2960,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/pages\/789\/revisions\/2960"}],"up":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/pages\/782"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/media?parent=789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}