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About

Wei-Shou Chan is a robotics and control systems researcher whose work centers on the development of advanced control strategies for multi-robot systems. His research sits at the intersection of intelligent control, adaptive systems, and autonomous robotics, with a particular focus on coordinated formation control for differentially driven wheeled mobile robots. Chan's most significant contributions lie in designing robust controllers capable of handling real-world challenges such as actuator faults, external disturbances, and system uncertainties. His 2013 paper on adaptive dynamic surface control for fault-tolerant multi-robot systems, which garnered 13 citations, introduced a novel approach to maintaining system performance even under partial actuator failure — a critical consideration for practical robotic deployments. Equally influential is his work integrating neuro-fuzzy techniques with formation control, demonstrating how intelligent approximation methods can enhance adaptability and precision in leader-follower robot configurations. Across his body of work, Chan has consistently employed sophisticated mathematical frameworks — including Lagrangian dynamics, graph theory, consensus algorithms, and terminal sliding-mode techniques — to push the boundaries of distributed multi-robot coordination. With cumulative citations approaching 40, his research provides foundational tools for engineers and researchers developing resilient, scalable autonomous robotic systems.