Research
Our work centers around trust and coordination in multi-robot systems, from provable foundations to deployment in real-world settings.
Communication as a Sensor
Enabling robots to leverage their local motion and received wireless signals to obtain relative information about neighboring robots — with applications to pose graph optimization and SLAM, rendezvous, and more.
Learn more →Multi-Robot Sequential Decision Making
Decision-making under uncertainty for multi-robot systems: partially observable Markov decision problems (POMDPs) with large state and control spaces, tackled with multiagent rollout, policy iteration, and reinforcement learning.
Learn more →Resilience in Multi-Robot Coordination
Methods that let robot teams coordinate successfully even in the presence of malicious robots — using trust derived from wireless signals to secure consensus, flocking, distributed detection, and surveillance.
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