{"619409":{"#nid":"619409","#data":{"type":"event","title":"IC Faculty Candidate Seminar - Yuke Zhu, Stanford University","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk:\u003C\/strong\u003E\u0026nbsp;Closing the perception-action loop\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Robots and autonomous systems have been playing a significant role in the modern economy. Custom-built robots have remarkably improved productivity, operational safety, and product quality. However, these robots are usually programmed for specific tasks in well-controlled environments, unable to perform diverse tasks in the real world. In this talk, I will present my work on building more effective and generalizable robot intelligence by closing the perception-action loop. I will discuss my research that establishes a tighter coupling between perception and action at three levels of abstraction: 1) learning primitive motor skills from raw sensory data, 2) sharing knowledge between sequential tasks in visual environments, and 3) learning hierarchical task structures from video demonstrations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Yuke Zhu is a final year Ph.D. candidate in the Department of Computer Science at Stanford University, advised by Prof. Fei-Fei Li and Prof. Silvio Savarese. His research interests lie at the intersection of robotics, computer vision, and machine learning. His work builds machine learning and perception algorithms for general-purpose robots. He received a Master\u0026#39;s degree from Stanford University and dual Bachelor\u0026#39;s degrees from Zhejiang University and Simon Fraser University. He also collaborated with research labs including Snap Research, Allen Institute for Artificial Intelligence, and DeepMind.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Yuke Zhu provides a talk on research in robotics."}],"uid":"33939","created_gmt":"2019-03-19 15:00:32","changed_gmt":"2019-03-19 15:00:32","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-16T12:00:00-04:00","event_time_end":"2019-04-16T13:00:00-04:00","event_time_end_last":"2019-04-16T13:00:00-04:00","gmt_time_start":"2019-04-16 16:00:00","gmt_time_end":"2019-04-16 17:00:00","gmt_time_end_last":"2019-04-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}