S. Garcin

Papers

Total Citations

H-Index

About

S. Garcin is a researcher specializing in multi-agent systems, control theory, and game-theoretic approaches to robotics. Their most cited work, "A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation" (2020, 48 citations), tackles the critical challenge of enabling teams of wheeled mobile robots to navigate safely without collisions. Garcin’s major contribution lies in developing a hybrid control framework that combines game-theoretic reasoning with real-time decision-making, addressing the limitations of purely local solutions that fail in dynamic, online environments. By formulating collision avoidance as a differential game, their work provides a mathematically rigorous method for coordinating multiple agents while ensuring safety and efficiency. This research has significant implications for autonomous systems, from warehouse robotics to drone swarms, where reliable, decentralized coordination is essential. With 48 citations, this paper has already influenced subsequent studies in multi-agent control and robotics. Garcin’s achievements demonstrate a talent for bridging theoretical game theory with practical engineering challenges, offering scalable solutions that push the boundaries of autonomous multi-agent cooperation. Their work continues to inspire researchers seeking robust, real-time control strategies for complex robotic systems.