{"686407":{"#nid":"686407","#data":{"type":"event","title":"PhD Proposal by Rui de Gouvea Pinto","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Multi-Agent Coordination for Autonomous Wildfire Containment Under Realistic Operational Constraints\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, November 19, 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E11:00AM - 12:30PM ET\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003ELove Building, Room 295\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EVirtual:\u0026nbsp;\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/5675939668\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/5675939668\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERui de Gouvea Pinto\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobotics Ph.D. Student\u003C\/p\u003E\u003Cp\u003EGeorge W. Woodruff School of Mechanical 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. Jonathan Rogers (Advisor)\u003C\/p\u003E\u003Cp\u003EDaniel Guggenheim School of Aerospace Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Sarah H. Q. Li\u003C\/p\u003E\u003Cp\u003EDaniel Guggenheim School of Aerospace Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Anirban Mazumdar\u003C\/p\u003E\u003Cp\u003EGeorge W. Woodruff School of Mechanical Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Matthew Hale\u003C\/p\u003E\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Sean Wilson\u003C\/p\u003E\u003Cp\u003ERobotics and Autonomous Systems Division\u003C\/p\u003E\u003Cp\u003EGeorgia Tech Research Institute\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThis research develops a framework for autonomous multi-agent coordination to support wildfire containment under realistic operational constraints. The objective is to enable teams of unmanned aerial vehicles (UAVs) to perform backburning and monitoring tasks adaptively in response to evolving fire behavior, while accounting for resource and communication constraints. The work integrates three key components: a feedback-oriented wildfire simulation environment (EMBRS), a decentralized task-allocation algorithm that accounts for battery and payload limitations (RA-CBBA), and a connectivity-aware extension that preserves network integrity during distributed operations.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEMBRS provides the closed-loop environment needed to model fire spread, simulate firefighting actions, and generate fire behavior forecasts. RA-CBBA enables UAVs to plan tasks while incorporating required replenishment events, achieving feasible assignments in large, dynamic environments. A connectivity-maintenance module assigns mobile relay agents to preserve network connectivity during execution. These components are integrated into a global firefighting planner that synthesizes ignition tasks, monitoring tasks, and real-time predictions into an adaptive multi-agent backburning strategy.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe proposed framework advances autonomous wildfire research by embedding realistic fire dynamics, operational constraints, and communication challenges into coordinated multi-agent planning. This work aims to provide a foundation for safe, reliable, and scalable autonomous backburning operations in future wildfire management systems.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMulti-Agent Coordination for Autonomous Wildfire Containment Under Realistic Operational Constraints\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Multi-Agent Coordination for Autonomous Wildfire Containment Under Realistic Operational Constraints"}],"uid":"27707","created_gmt":"2025-11-13 15:55:15","changed_gmt":"2025-11-13 16:19:00","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-19T11:00:00-05:00","event_time_end":"2025-11-19T12:30:00-05:00","event_time_end_last":"2025-11-19T12:30:00-05:00","gmt_time_start":"2025-11-19 16:00:00","gmt_time_end":"2025-11-19 17:30:00","gmt_time_end_last":"2025-11-19 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"Love Building, Room 295","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":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}