Michael Amir

Dr. Michael Amir is a Research Fellow in the Prorok Lab at the University of Cambridge's Department of Computer Science and Technology, affiliated with Trinity College. His research focuses on multi-agent systems and swarm robotics, emphasizing scalable algorithms with provable safety guarantees at the intersection of machine learning and formal mathematics. He explores how interactions among autonomous systems can enhance decision-making while ensuring safety and efficiency in unknown environments. His work includes algorithm design for swarm dispersion, energy optimization, and fault-tolerant systems.

Key areas of research include cooperative multi-agent learning, bio-inspired robotics (e.g., ant and locust models), and stigmergy-based coordination. He has published in top venues such as IEEE Transactions on Robotics and explores applications like environmental monitoring and grid patrolling.

His articles highlight trends in optimizing robotic swarms for energy efficiency, minimizing travel, and achieving uniform dispersion. He collaborates on projects involving decentralized task allocation and probabilistic pursuit strategies. Amir actively engages with the academic community, contributing to both theoretical advancements and practical implementations in autonomous systems.

His current affiliation and location at the William Gates Building, University of Cambridge, underscore his role in fostering innovation in robotics and AI safety. He is open to collaborations and discussions on multi-agent systems and AI ethics.