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UID:0-818@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20240814T120000

DTEND;TZID=Asia/Jerusalem:20240814T130000

DTSTAMP:20240808T063343Z

URL:https://aerospace.technion.ac.il/events/previous-knowledge-utilization
 -in-non-parametric-online-belief-space-planning/

SUMMARY:Previous Knowledge Utilization In Non-Parametric Online Belief Spac
 e Planning
DESCRIPTION:Lecturer:Michael Novitsky\n Faculty:TASP\n Institute:Technion 
 – Israel Institute of Technology\n Location:Zoom\n Zoom: https://technio
 n.zoom.us/j/92048227868\n Abstract: Online planning under uncertainty rema
 ins a critical challenge in robotics and autonomous systems. While tree se
 arch techniques are commonly employed to construct partial future trajecto
 ries within computational constraints\, most existing methods discard info
 rmation from previous planning sessions. This study presents a novel\, com
 putationally efficient approach that leverages historical planning data in
  current decision-making processes in a partially observable setting. We p
 rovide theoretical foundations for our information reuse strategy and intr
 oduce an algorithm based on Monte Carlo Tree Search (MCTS) that implements
  this approach.\nExperimental results demonstrate that our method signific
 antly reduces computation time while maintaining high performance levels. 
 Our findings suggest that integrating historical planning information can 
 substantially improve the efficiency of online decision-making in uncertai
 n environments\, paving the way for more responsive and adaptive autonomou
 s systems.\nThe work is towards M.Sc. degree under the supervision of Asso
 ciate Professor\, Vadim Indelman\, Head of the Autonomous Navigation and P
 erception Lab\, Department of Aerospace Engineering\, Technion – Israel 
 Institute of Technology\n Details: \n 
CATEGORIES:Seminars
LOCATION:Zoom

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