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About

Xiaomin Zhao is a leading researcher in advanced robotics, specializing in adaptive robust control, cooperative multi-robot systems, and uncertainty management in complex mechanical systems. Her work addresses fundamental challenges in robotic autonomy—how machines can maintain precise performance despite unpredictable disturbances, varying loads, and nonlinear couplings. Zhao’s most influential contribution is the development of an adaptive robust constraint-following control framework based on the Udwadia-Kalaba approach, first demonstrated for omnidirectional mobile robots (27 citations) and later extended to redundantly actuated parallel robots (18 citations) and fuzzy swarm robot systems (14 citations). This indirect control methodology allows robots to track trajectories with high fidelity even under significant uncertainties. More recently, Zhao has advanced spatial cooperative dual-robot systems, introducing an evenly partition approach for modeling and constraint-following control (2023) and tackling multi-source constraints in dual-robot mirror milling for precision manufacturing (2024). Her work bridges theoretical control theory with practical robotic applications, offering elegant solutions for systems where multiple robots must coordinate complex spatial motions. Zhao’s research is essential reading for engineers working on mobile robotics, parallel manipulators, and cooperative manufacturing systems.