Chrysovalandis Agathangelou

Papers

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About

Chrysovalandis Agathangelou is a leading researcher in distributed algorithms and autonomous robotic systems, with a particular focus on coordination and gathering problems for mobile robots. His most-cited work, "A distributed algorithm for gathering many fat mobile robots in the plane" (2013, 97 citations), addresses a fundamental challenge in swarm robotics: enabling non-transparent, unit-disc robots to converge in an asynchronous setting using only local vision-based decisions. By employing a state-machine representation, Agathangelou introduced a novel approach to the classic gathering problem, demonstrating how "fat" robots—those with physical size constraints—can achieve global coordination without central control or communication. This contribution has been highly influential in the fields of distributed computing and robotics, providing a theoretical foundation for real-world applications like search-and-rescue and environmental monitoring. His work stands out for its rigorous analysis of minimalistic robot capabilities, bridging the gap between abstract algorithmic theory and practical multi-robot systems. Agathangelou’s research continues to inspire new directions in autonomous coordination, making him a key figure in advancing the understanding of decentralized decision-making in constrained environments.