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
- Communication-constrained collective intelligence for indoor drone swarms ICRA 2026 · 2026
- Heterogeneous multi-robot reinforcement learning NeurIPS 2025 · 2025
People
- Amanda Prorok
- Example PhD Student