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About

Gong‐You Tang is a robotics researcher whose work centers on the control, coordination, and navigation of mobile robotic systems. His primary contributions lie in developing advanced algorithms for trajectory tracking and formation control, addressing the fundamental challenges of multi-robot cooperation. In his most cited work, "Trajectory tracking control of wheeled mobile robots via fuzzy approach" (2014, 12 citations), Tang derived a dynamic model using Lagrange’s equations and introduced a fuzzy control method to handle uncertain physical parameters, a common hurdle in real-world robotics. He further advanced the field with "Formation control for mobile multiple robots based on hierarchical virtual structures" (2010, 8 citations), where he proposed a scalable scheme that clusters robots to simplify complex formation tasks. Tang has also explored path planning with an ant colony algorithm using endpoint approximation (2012) and developed finite-time tracking control laws based on variable structure (2010), ensuring rapid convergence and robustness. While his citation counts reflect a focused, technical audience, his work provides foundational solutions for autonomous navigation, cooperative robotics, and adaptive control, making him a notable contributor to the practical advancement of mobile robot systems.