{"id":1057,"date":"2014-07-02T13:12:26","date_gmt":"2014-07-02T04:12:26","guid":{"rendered":"http:\/\/www.cns.atr.jp\/bri\/?p=1057"},"modified":"2018-10-12T15:03:52","modified_gmt":"2018-10-12T06:03:52","slug":"welcome-to-dept-of-brain-robot-interface","status":"publish","type":"post","link":"https:\/\/bicr.atr.jp\/bri\/en\/2014\/07\/02\/welcome-to-dept-of-brain-robot-interface\/","title":{"rendered":""},"content":{"rendered":"<pre><span style=\"font-family: helvetica;\"><span style=\"font-size: medium;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1800\" src=\"https:\/\/bicr.atr.jp\/bri\/wp-content\/uploads\/2015\/02\/BRI_logo_en_1218x370.jpg\" alt=\"BRI_logo_en_1218x370\" width=\"609\" height=\"185\" \/>\r\n\r\nOur goal is to develop \"Brain-Robot-Interface\" (BRI), interfacing a\r\nhuman brain to a robot controller, so that we can operate the robot\r\nusing extracted brain signal (as we \"thought\" without moving our body).\r\n\r\nWe also have been developing very unique research platforms.\r\nFor example, the high-performance humanoid robot--named\r\n\"CBi\"(*) is designed to tackle control problems underlying in such a\r\ncomplicated system based on machine learning approaches and control\r\ntheories.\r\n\r\n(*)composed of 51 DOFs hydraulic-drive\r\n\r\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1652\" src=\"https:\/\/bicr.atr.jp\/bri\/wp-content\/uploads\/2014\/06\/line1.png\" alt=\"line1\" width=\"500\" height=\"1\" \/>\r\n\r\n<\/span><\/span><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Our goal is to develop &#8220;Brain-Robot-Interface&#8221; (BRI), interfacing a human brain to a robot controller, so that we can operate the robot using extracted brain signal (as we &#8220;thought&#8221; without moving our body). We also have been developing very unique research platforms. For example, the high-performance humanoid robot&#8211;named &#8220;CBi&#8221;(*) is designed to tackle control problems underlying in such a complicated system based on machine learning approaches and control theories. (*)composed of 51 DOFs hydraulic-drive<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-1057","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/posts\/1057","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/types\/post"}],"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=1057"}],"version-history":[{"count":23,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/posts\/1057\/revisions"}],"predecessor-version":[{"id":2420,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/posts\/1057\/revisions\/2420"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/media?parent=1057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/categories?post=1057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bicr.atr.jp\/bri\/en\/wp-json\/wp\/v2\/tags?post=1057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}