BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//6.6.4.4//EN TZID:Asia/Jerusalem X-WR-TIMEZONE:Asia/Jerusalem BEGIN:VEVENT UID:0-1629@aerospace.technion.ac.il DTSTART;TZID=Asia/Jerusalem:20260506T133000 DTEND;TZID=Asia/Jerusalem:20260506T143000 DTSTAMP:20260316T091203Z URL:https://aerospace.technion.ac.il/events/resilient-decision-making-for- multi-robot-systems-in-the-presence-of-adversaries/ SUMMARY:Resilient Decision-Making for Multi-Robot Systems in the Presence o f Adversaries DESCRIPTION:Lecturer:Roee Francos\n Faculty:\n Institute:Harvard School of Engineering and Applied Sciences\n Location:Classroom 240\, Second Floor\, Aerospace Eng.\n Zoom: https://technion.zoom.us/j/98372598857\n Abstract: \n\n\nThis talk presents a unified perspective on resilient decision-maki ng for multi-robot systems operating in environments where adversaries may influence routing\, search\, and detection tasks. Over the past decade\, significant progress has been made in multi-robot systems research\, parti cularly in coordination\, control\, and navigation\, largely fueled by the rapid commercialization of unmanned aerial systems and drones. Yet\, depl oying these systems in real-world environments remains difficult. Most res earch assumes cooperative or optimally performing agents\, neglecting case s where agents behave adversarially or suboptimally due to uncertainty\, f aults\, or environmental disturbances. Resiliency to malicious or malfunct ioning agents remains a key limitation\, as such agents can degrade system efficiency and destabilize routing policies\, where stability is typicall y defined as bounded cost over time. Existing stability guarantees for coo perative fleets collapse when agents deviate from plans\, underscoring the need for adversarially aware planning and routing theory\, particularly i n safety-critical aerospace applications.\n\nIn my work\, I establish theo retical foundations for coordination\, control\, and learning under uncert ainty and adversarial influence\, focusing on routing and traffic manageme nt for fleets of aerial and ground agents\, with Urban Air Mobility as a c ompelling application. I develop adaptive algorithms that ensure provable stability\, resilience\, and safety.\n\nI will present new results on resi lient multi-agent policies that operate effectively despite adversaries in the decision loop\, including routing under adversarial influence from ag ents that manipulate data while remaining within the system.\n\nFinally\, I will show how resilient cooperative search strategies address challenges posed by intelligent\, coordinated external adversaries\, providing prova ble guarantees for coverage and detection in settings such as search and r escue and pursuit-evasion. I conclude by outlining future research directi ons at the intersection of safety\, learning\, and large-scale autonomy.\n \nRoee M. Francos is currently a Computer Science Postdoctoral Fellow at t he Robotics\, Embedded Autonomy\, and Communication Theory (REACT) Lab at Harvard University focusing on development of multi-agent resilient decisi on-making and coordination algorithms. In 2023\, he completed his PhD in C omputer Science at the Multi-Agent Robotic Systems Laboratory\, the Techni on-Israel Institute of Technology. He received the B.Sc. in Electrical and Computer Engineering from Ben-Gurion University. His research interests a re in multi-agent teamwork\, autonomous robotics\, intelligent transportat ion systems\, bio-inspired robotics and computer vision\, focusing on coll aborative algorithms for motion planning of autonomous vehicles\, multi-ro bot learning \, and air traffic management and coordination of unmanned ve hicles. Roee is a recipient of the 2023 Robotics Science and Systems (RSS) Pioneers Award and the 2025 IEEE Multi-Robot &\; Multi-Agent Systems ( MRS) Young Pioneer Award.\n\n \;\n\n\n\n Details: \n CATEGORIES:Seminars,סמינרים LOCATION:Classroom 240\, Second Floor\, Aerospace Eng. END:VEVENT BEGIN:VTIMEZONE TZID:Asia/Jerusalem X-LIC-LOCATION:Asia/Jerusalem BEGIN:DAYLIGHT DTSTART:20260327T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:IDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR