{"675810":{"#nid":"675810","#data":{"type":"event","title":"PhD Defense by Sean Ye","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ETrajectory Modeling using Generative Approaches for Scheduling, Planning, and Multi-Agent Systems\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EMonday, August 19th\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E1:00pm-3:00pm Eastern time\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003EKlaus 1116E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EZoom link: \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/my\/seanye\u0022\u003E\u003Cstrong\u003Ehttps:\/\/gatech.zoom.us\/my\/seanye\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESean Ye\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobotics PhD Candidate\u003C\/p\u003E\u003Cp\u003ESchool of Aerospace Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Matthew Gombolay (Advisor) - School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Karen Feigh-\u0026nbsp;School of Aerospace Engineering, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. Harish Ravichandar- School of Interactive Computing, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003EDr. David Sidoti- Distinguished Member of R\u0026amp;D, US Naval Research Laboratory\u003C\/p\u003E\u003Cp\u003EDr. Andreea Bobu- Department of Aeronautics and Astronautics, MIT\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ETrajectory prediction and generation are crucial for autonomous robots navigating dynamic environments. While previous research has often focused on either prediction or generation, my dissertation explores how deep generative modeling can address both aspects within a unified framework. I discuss applications in various robotics domains, including long-horizon planning, adversarial tracking, trajectory forecasting, and agile robot control. I present several methods to enhance generative models for modeling multi-agent teams, integrating different constraints, and reducing sample-time complexity to enable application on real robots. Finally, I present work evaluating large language model\u0027s capabilities for increasing usability and reducing workload for scheduling and motion planning. Overall, this thesis aims to demonstrate the versatility and effectiveness of deep generative modeling in advancing robot autonomy.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETrajectory Modeling using Generative Approaches for Scheduling, Planning, and Multi-Agent Systems\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Trajectory Modeling using Generative Approaches for Scheduling, Planning, and Multi-Agent Systems"}],"uid":"27707","created_gmt":"2024-08-06 19:00:29","changed_gmt":"2024-08-06 19:01:01","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-08-19T13:00:00-04:00","event_time_end":"2024-08-19T15:00:40-04:00","event_time_end_last":"2024-08-19T15:00:40-04:00","gmt_time_start":"2024-08-19 17:00:00","gmt_time_end":"2024-08-19 19:00:40","gmt_time_end_last":"2024-08-19 19:00:40","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 1116E","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":""}}}