Chang Zhang

Qufu Normal University, Analysis and Testing Centre

Papers

Total Citations

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About

Chang Zhang is a robotics researcher whose work focuses on the modeling, control, and affordable testing of robotic systems. A key contribution is their development of anti-disturbance control strategies for lightweight personal robotics (P-Robs). In their most-cited paper (15 citations), Zhang addressed the critical challenge of movement instability in six-degree-of-freedom robot manipulators caused by time-varying uncertain disturbances, proposing a novel dynamics modeling and control framework. This work is foundational for making personal robots more reliable in real-world, unpredictable environments. Demonstrating a commitment to practical, accessible robotics, Zhang also pioneered the use of low-cost HTC VIVE trackers for detecting mobile robot trajectories (3 citations). This innovation tackles the significant barrier of expensive, high-precision equipment, enabling testing laboratories with limited budgets to accurately evaluate robot performance. By bridging the gap between advanced control theory and cost-effective experimental validation, Chang Zhang’s research is paving the way for more robust and democratized robotics development.