{"664210":{"#nid":"664210","#data":{"type":"event","title":"PhD Proposal by Yingke Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBayesian Learning for Collaborative Source Seeking with Human-Robot Teams\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 10, 2023\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E2:00PM \u0026ndash; 4:00PM\u0026nbsp;ET\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_MWNiYWVkZWYtMTE1YS00NGI5LTk3NTAtZjNkZTg2NDYzODY1%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22127397ee-6044-4700-8f48-28f202a64df4%22%7d\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_MWNiYWVkZWYtMTE1YS00NGI5LTk3NTAtZjNkZTg2NDYzODY1%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22127397ee-6044-4700-8f48-28f202a64df4%22%7d\u0022\u003ETeams Meeting\u003C\/a\u003E\u0026nbsp;(Meeting ID: 276 388 836 07\u0026nbsp;\u0026nbsp;Passcode: fQDUZW)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EYingke Li\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERobotics\u0026nbsp;PhD\u0026nbsp;Student\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Fumin Zhang (Advisor) \u0026ndash; School of\u0026nbsp;Electrical and Computer Engineering, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Enlu Zhou \u0026ndash;\u0026nbsp;School of Industrial and Systems Engineering, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Matthieu Bloch\u0026nbsp;\u0026ndash; School of Electrical and Computer Engineering, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Seth Hutchinson\u0026nbsp;\u0026ndash; School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Diyi Yang \u0026ndash; Computer Science Department, Stanford University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis proposal aims to devise a framework which enables shared autonomy for human-robot collaborative source seeking in turbulent environments, where the robots are tasked to simultaneously estimate the location of the source by sensor information and navigate towards the source, while in the meanwhile incorporating the superior situation awareness, logic, and problem-solving capability of their human partners. This framework empowers the robots with the full autonomy of SENSE, PLAN and ACT, as well as the versatility to smoothly adapt their autonomy level to achieve better team performance by INTERACTing with human. To overcome the multiple sources of uncertainty encountered that may thwart the success of collaborative source seeking in turbulent environments, this work resorts to a probabilistic perspective and a Bayesian framework is proposed to deal with different aspects of uncertainty. Specifically,\u0026nbsp;\u003Cstrong\u003EBayesian Consistent\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003E\u003Cem\u003EData Fusion (DF)\u003C\/em\u003E\u003C\/strong\u003E\u0026nbsp;approach is utilized to incorporate the information from\u0026nbsp;\u003Cem\u003Enoisy measurements\u003C\/em\u003E\u0026nbsp;collected by heterogeneous sensors;\u0026nbsp;\u003Cstrong\u003EBayesian Risk-averse\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003E\u003Cem\u003EModel Predictive Control (MPC)\u003C\/em\u003E\u003C\/strong\u003E\u0026nbsp;is employed to warrant safe movement even in the presence of\u0026nbsp;\u003Cem\u003Efluctuant dynamics \u003C\/em\u003Ecaused by the turbulent flow; furthermore,\u0026nbsp;\u003Cstrong\u003EBayesian Mutual\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003E\u003Cem\u003ETheory of Mind (ToM)\u003C\/em\u003E\u003C\/strong\u003E\u0026nbsp;is exploited to infer the\u0026nbsp;\u003Cem\u003Eambiguous intentions\u003C\/em\u003E\u0026nbsp;of human during the interaction.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Bayesian Learning for Collaborative Source Seeking with Human-Robot Teams"}],"uid":"27707","created_gmt":"2022-12-23 18:51:32","changed_gmt":"2022-12-23 18:51:32","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-01-10T14:00:00-05:00","event_time_end":"2023-01-10T16:00:00-05:00","event_time_end_last":"2023-01-10T16:00:00-05:00","gmt_time_start":"2023-01-10 19:00:00","gmt_time_end":"2023-01-10 21:00:00","gmt_time_end_last":"2023-01-10 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}