{"id":970,"date":"2016-09-28T08:10:03","date_gmt":"2016-09-28T12:10:03","guid":{"rendered":"https:\/\/sites.bu.edu\/guentherlab\/?p=970"},"modified":"2016-09-28T09:28:53","modified_gmt":"2016-09-28T13:28:53","slug":"correcting-robot-mistakes-in-real-time-using-eeg-signals","status":"publish","type":"post","link":"https:\/\/sites.bu.edu\/guentherlab\/2016\/09\/28\/correcting-robot-mistakes-in-real-time-using-eeg-signals\/","title":{"rendered":"Correcting Robot Mistakes in Real Time Using EEG Signals"},"content":{"rendered":"<p>Lab member\u00a0<span>Andr\u00e9s F. Salazar-G\u00f3mez worked on the paper titled, Error-related potential for human-robot interaction: Correcting Robot Mistakes in Real Time Using EEG Signals. \u00a0<\/span><\/p>\n<p>In this project we are using EEG signals to automatically detect errors made by a robot. Our work focuses on identifying Error-related Potentials (ErrP), EEG signals generated in response to an observed or executed error, to correct in real time a robot\u2019s selection. Our results demonstrate the potential of ErrPs for seamless robotic control, and moves closer towards the goal of real time intuitive human-robot interaction.<\/p>\n<p>This video is part of results submitted to the IEEE International Conference on Robotics and Automation (ICRA 2017) in the paper \u201cCorrecting Robot Mistakes in Real Time Using EEG Signals\u201d.<\/p>\n<div style=\"width: 1920px;\" class=\"wp-video\"><!--[if lt IE 9]><script>document.createElement('video');<\/script><![endif]-->\n<video class=\"wp-video-shortcode\" id=\"video-970-1\" width=\"1920\" height=\"1080\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"\/guentherlab\/files\/2016\/09\/Correcting_Robot_Mistakes_compressed.mp4?_=1\" \/><a href=\"\/guentherlab\/files\/2016\/09\/Correcting_Robot_Mistakes_compressed.mp4\">\/guentherlab\/files\/2016\/09\/Correcting_Robot_Mistakes_compressed.mp4<\/a><\/video><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Lab member\u00a0Andr\u00e9s F. Salazar-G\u00f3mez worked on the paper titled, Error-related potential for human-robot interaction: Correcting Robot Mistakes in Real Time Using EEG Signals. \u00a0 In this project we are using EEG signals to automatically detect errors made by a robot. Our work focuses on identifying Error-related Potentials (ErrP), EEG signals generated in response to an [&hellip;]<\/p>\n","protected":false},"author":5366,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/posts\/970"}],"collection":[{"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/users\/5366"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/comments?post=970"}],"version-history":[{"count":10,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/posts\/970\/revisions"}],"predecessor-version":[{"id":982,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/posts\/970\/revisions\/982"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/media?parent=970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/categories?post=970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.bu.edu\/guentherlab\/wp-json\/wp\/v2\/tags?post=970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}