Graph Neural Networks for Multi-Robot Coordination
Using structured communication and learning to coordinate robot teams—going beyond simple local rules to achieve globally effective behaviors.
Projects
Research spanning multi-robot coordination, swarm intelligence, and autonomous systems—from learning-based controllers to physical robot platforms.
Resilience in Heterogeneous Multi-Robot Systems
How do you keep a robot team working effectively when things go wrong? Algorithms that assign the right robots to the right tasks—and adapt when robots fail ...
Biophysics-Inspired Robot Swarms
Using ideas from biology and statistical mechanics to enable swarm robot behaviors leveraging local encounters as a source of information.
Building Robot Swarms
From low cost vibration-driven Brushbots to the Robotarium—creating physical platforms that let anyone experiment with swarm robotics.