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About

Xiaofei Zheng is a robotics researcher specializing in precision motion control and trajectory planning for industrial and bio-inspired robotic systems. His primary contributions lie in the development of high-accuracy, vibration-suppressed control strategies for wafer transfer robots—critical machinery in semiconductor manufacturing. Zheng’s work addresses the dual challenges of minimizing contour error and suppressing mechanical vibration during high-speed trajectory tracking, ensuring clean, stable wafer handling. His 2010 papers on accurate trajectory control and vibration suppression (7 and 5 citations, respectively) established foundational methods using dynamic modeling and input shaping techniques. More recently, he has expanded into bio-robotics, proposing an energy-optimal motion planning method for an inchworm robot using an improved adaptive particle swarm optimization (PSO) algorithm (2022, 6 citations). This work integrates cubic and seventh-order polynomial trajectory programming to reduce energy consumption in peristaltic gaits. Zheng’s research bridges industrial precision automation and energy-efficient soft robotics, with his most-cited works collectively demonstrating a sustained focus on stable, accurate, and efficient robotic motion control.