{"640257":{"#nid":"640257","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Mouhyemen Khan","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EBayesian Model-based Safe Learning and Control for Robots\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Chatterjee, Advisor\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mukhopadhyay, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Egerstedt\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of this research is to investigate safe learning-based control for safety-critical robots while considering unmodeled system dynamics. Uncertainty in system dynamics can arise due to external disturbances or internal system failures. Uncertainty modeling is done with the help of posterior surrogates from Gaussian Processes (GPs). The safety framework leverages properties of Control Barrier Functions (CBFs) to ensure forward invariance of the system inside a safe set.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Bayesian Model-based Safe Learning and Control for Robots"}],"uid":"28475","created_gmt":"2020-10-15 22:55:06","changed_gmt":"2020-10-15 22:55:06","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-12T13:00:00-05:00","event_time_end":"2020-11-12T15:00:00-05:00","event_time_end_last":"2020-11-12T15:00:00-05:00","gmt_time_start":"2020-11-12 18:00:00","gmt_time_end":"2020-11-12 20:00:00","gmt_time_end_last":"2020-11-12 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"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":""}}}