Research theme

Multi-agent coordination

Decentralised decision-making and emergent cooperation in robot teams under partial observability and constrained communication.

We develop algorithms that let teams of robots reach collective decisions without a central planner. Our recent work studies how learned policies can be made robust to sparse, noisy, or actively adversarial communication, and how to verify that emergent group behaviour stays within safe operating envelopes.

Recent papers

People

  • Alex Raymond
  • Amanda Prorok
  • Antonio Marino
  • Eduardo Sebastián Rodríguez
  • Guang Yang
  • Jan Blumenkamp
  • Jasmine Bayrooti
  • Keisuke Okumura
  • Lorenzo Magnino
  • Maksymilian Wolski
  • Manon Flageat
  • Mateusz Odrowaz-Sypniewski
  • Matteo Bettini
  • Michael Amir
  • Nicolas Pfitzer
  • Peter Woo
  • Qingbiao Li
  • Rishabh Jain
  • Ryan Kortvelesy
  • Steven Morad
  • Zhan Gao