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UID:0-1557@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20260513T133000

DTEND;TZID=Asia/Jerusalem:20260513T143000

DTSTAMP:20260430T142133Z

URL:https://aerospace.technion.ac.il/events/seminar-roee-m-francos-2026-05
 -13/

SUMMARY:Resilient Decision-Making for Multi-Robot Systems in the Presence o
 f Adversaries
DESCRIPTION:Lecturer:Roee M. Francos\n Faculty:Embedded Autonomy\, and Comm
 unication Theory (REACT) Lab\, School of Engineering and Applied Sciences\
 n Institute:Harvard University\n Location:Classroom 240\, 1st floor\, Aero
 space Eng. building\n Zoom: https://technion.zoom.us/j/94050711666\n Abstr
 act: This talk presents a unified perspective on resilient decision-making
  for multi-robot systems in environments where adversaries may influence r
 outing\, search\, and detection tasks. Recently\, significant progress in 
 coordination\, control\, and navigation of multi-robot systems has been ac
 hieved\, driven primarily by the rapid commercialization of unmanned aeria
 l systems and drones. Yet\, real-world deployment remains challenging. Mos
 t research assumes cooperative or optimally performing agents\, overlookin
 g adversarial or suboptimal behavior due to uncertainty\, faults\, or envi
 ronmental disturbances. Resilience to malicious or malfunctioning agents r
 emains a key limitation\, as such agents can degrade efficiency and destab
 ilize routing policies\, where stability is defined as bounded cost over t
 ime. Existing stability guarantees for cooperative fleets collapse when ag
 ents deviate from plans\, underscoring the need for adversarially aware pl
 anning and routing theory in safety-critical applications.\n\nI will prese
 nt new theoretical and experimental results on resilient multi-agent polic
 ies for coordination\, control\, and learning under uncertainty and advers
 arial influence\, focusing on routing and traffic management for fleets of
  aerial and ground agents for which I develop adaptive algorithms that pro
 vide provable stability\, resilience\, and safety guarantees. Finally\, I 
 will show how resilient cooperative search strategies address challenges p
 osed by intelligent\, coordinated external adversaries\, providing provabl
 e guarantees for coverage and detection in settings such as search and res
 cue and pursuit-evasion. I conclude by outlining future research direction
 s at the intersection of safety\, learning\, and large-scale autonomy with
  Urban Air Mobility serving as a compelling application.\n\nBio:\n\nRoee M
 . Francos is currently a Computer Science Postdoctoral Fellow at the Robot
 ics\, Embedded Autonomy\, and Communication Theory (REACT) Lab at Harvard 
 University working with Prof. Stephanie Gil\, focusing on development of m
 ulti-agent resilient decision-making and coordination algorithms. In 2023\
 , he completed his PhD in Computer Science under supervision of Prof. Fred
 dy Bruckstein\, at the Technion-Israel Institute of Technology. He receive
 d the B.Sc. in Electrical and Computer Engineering from Ben-Gurion Univers
 ity. His research interests are in multi-agent teamwork\, autonomous robot
 ics\, intelligent transportation systems\, bio-inspired robotics and compu
 ter vision\, focusing on collaborative algorithms for motion planning of a
 utonomous vehicles\, multi-robot learning \, and air traffic management an
 d coordination of unmanned vehicles. Roee is a recipient of the 2023 Robot
 ics Science and Systems (RSS) Pioneers Award and the 2025 IEEE Multi-Robot
  &amp\; Multi-Agent Systems (MRS) Young Pioneer Award.\n Details: \n 
CATEGORIES:Seminars
LOCATION:Classroom 240\, 1st floor\, Aerospace Eng. building

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