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PhD Candidate
Peter Woo
compositionalitySwarm Robotics
Peter is pioneering approaches that move beyond monolithic AI models, focusing instead on specialized, collaborative robot teams that can adapt dynamically and scale efficiently. His work bridges theoretical advances in modular AI with real-world experiments involving drone swarms and multi-robot systems.
Publications
- Concrete multi-agent path planning enabling kinodynamically aggressive maneuvers npj Robotics 2026
- ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination CoRL 2025 2025
- D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations IROS 2025 2025