{"675418":{"#nid":"675418","#data":{"type":"event","title":"PhD Proposal by Christian Coletti","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EChristian Coletti\u003C\/strong\u003E\u003Cbr\u003E\u003Cem\u003E(Advisor: Prof. Dimitri Mavris]\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003Ewill propose a doctoral thesis entitled,\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EIntelligent Goal-Oriented Model-Predictive Path Integral Control (IGO-MPPI): An Autonomy Framework for UAVs and Mobile Robotics in Complex Environments\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EOn\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWednesday, July 17th at 9:00 a.m.\u0026nbsp;\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003ECollaborative Visualization Environment (CoVE)\u003C\/strong\u003E\u003Cbr\u003E\u003Cem\u003EWeber Space and Technology Building (SST II)\u003C\/em\u003E\u003Cbr\u003E\u003Cem\u003Eand\u003C\/em\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_ZDBkNzIzYTEtMzY2My00YTg1LTkzYzEtZGVmZGZiNDdmYmNj%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22adde1381-ed82-42ad-be5c-a8bafbeae099%22%7d\u0022\u003E\u003Cstrong\u003EMicrosoft Teams\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003Cbr\u003EVarious entities such as the Department of Defense, the Defense Advanced Research Projects Agency, the Air Force Research Laboratory, and MITRE have released research or roadmaps that demonstrate that future autonomous systems, especially UAVs, will be asked to perform increasingly complicated tasks in complex and dynamic environments. In order to improve decision-making in autonomous architectures, an emerging trajectory planning is selected that uses a forward projective, sampling-based approach: model-predictive path integral control (MPPI). In order to extend MPPI in order to handle problems requiring long-term intelligent goal-orientation (IGO), advanced simulation and cost shaping techniques are included in order to form a systematic framework used in autonomous system development. Additionally, an architecture-compatible multi-agent teaming approach is established and reviewed for viability in practical settings such as connection intermittency. This novel framework is formalized as Intelligent Goal-Oriented Model Predictive Path Integral planning (IGO-MPPI) and seeks to improve the performance of autonomous unmanned systems such as UAVs in practical problems of high complexity.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cul type=\u0022disc\u0022\u003E\u003Cli\u003EProf. Dimitri Mavris \u2013 School of Aerospace Engineering (advisor)\u003C\/li\u003E\u003Cli\u003EProf. Graeme Kennedy \u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EProf. John Valasek \u2013 Aerospace Engineering Department, Texas A\u0026amp;M University\u003C\/li\u003E\u003Cli\u003EProf. Kyriakos Vamvoudakis \u2013 School of Aerospace Engineering\u0026nbsp;\u003C\/li\u003E\u003Cli\u003EDr. Olivia Fischer \u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EDr. Sean Wilson \u2013 Georgia Tech Research Institute\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EIntelligent Goal-Oriented Model-Predictive Path Integral Control (IGO-MPPI): An Autonomy Framework for UAVs and Mobile Robotics in Complex Environments\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Intelligent Goal-Oriented Model-Predictive Path Integral Control (IGO-MPPI): An Autonomy Framework for UAVs and Mobile Robotics in Complex Environments"}],"uid":"27707","created_gmt":"2024-07-10 13:46:50","changed_gmt":"2024-07-10 13:46:50","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-07-17T09:00:00-04:00","event_time_end":"2024-07-17T11:00:00-04:00","event_time_end_last":"2024-07-17T11:00:00-04:00","gmt_time_start":"2024-07-17 13:00:00","gmt_time_end":"2024-07-17 15:00:00","gmt_time_end_last":"2024-07-17 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Collaborative Visualization Environment (CoVE) Weber Space and Technology Building (SST II) and  Microsoft Teams","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":""}}}