{"686471":{"#nid":"686471","#data":{"type":"event","title":"PhD Defense by Tianyu Li","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E: Cross-Embodiment Imitation\u0026nbsp;for Robot Whole-body Skill Learning\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Monday,\u0026nbsp; Nov 24th 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime\u003C\/strong\u003E: 12:00 PM - \u0026nbsp;2:00 PM EST\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Coda C1108 Brookhaven, \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/94055958293\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/94055958293\u0022\u003EZoom Link\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETianyu Li\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EPh.D. Student in Computer\u0026nbsp;Science\u003C\/p\u003E\u003Cp\u003ESchool of Interactive Computing\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/easypapersniper.github.io\/\u0022 title=\u0022https:\/\/easypapersniper.github.io\/\u0022\u003Ehttps:\/\/easypapersniper.github.io\/\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E:\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Sehoon Ha (Advisor) \u2013 School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Danfei Xu \u2013 School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Greg Turk \u2013 School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Karen Liu \u2013 Computer Science Department, Stanford University\u003C\/p\u003E\u003Cp\u003EDr. Marco Hutter \u2013\u0026nbsp; Robotic Systems Lab, ETH Z\u00fcrich\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003Cbr\u003ERobots need to acquire natural, human-like skills to assist humans across a wide range of tasks. A direct and intuitive approach is to learn these skills by imitating human demonstrations. However, robots often differ drastically from humans in both morphology and dynamics\u2014ranging from quadrupeds and wheeled robots to multi-arm manipulators. This embodiment gap presents significant challenges for transferring complex, whole-body human motions to robots.\u003C\/p\u003E\u003Cp\u003EIn this talk, I will present my research on enabling robots to learn sophisticated whole-body skills from human demonstrations. The talk is structured in three parts: (1) cross-morphology motion retargeting, (2) cross-embodiment interaction imitation, and (3) cross-embodiment generalization. In the first part, I will introduce methods for retargeting human motions to robots by establishing motion correspondence, addressing both cases with and without robot datasets. In the second part, I will discuss learning interaction skills from human demonstrations, including moving large and heavy objects as well as inter-agent interactions such as dancing, sparring, and handshaking. Finally, I will share my ongoing work on building foundation models for characters of arbitrary topology and on using console games as a unified platform for evaluating embodied AI alongside human performance.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECross-Embodiment Imitation\u0026nbsp;for Robot Whole-body Skill Learning\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Cross-Embodiment Imitation for Robot Whole-body Skill Learning"}],"uid":"27707","created_gmt":"2025-11-17 14:09:20","changed_gmt":"2025-11-17 14:09:20","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-24T12:00:00-05:00","event_time_end":"2025-11-24T14:00:00-05:00","event_time_end_last":"2025-11-24T14:00:00-05:00","gmt_time_start":"2025-11-24 17:00:00","gmt_time_end":"2025-11-24 19:00:00","gmt_time_end_last":"2025-11-24 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda C1108 Brookhaven, Zoom Link","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}