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About

Yingchun Mei is a robotics researcher whose work centers on the control and coordination of nonholonomic mobile robots, with particular emphasis on visual servoing, multi-robot formation, and autonomous navigation. Operating at the intersection of control theory and robotic systems, Mei has made meaningful contributions to solving the inherently complex challenges posed by nonholonomic kinematic constraints combined with visual feedback uncertainty. Mei's most recognized contribution, "Dynamic Feedback Tracking Control of Non-holonomic Mobile Robots with Unknown Camera Parameters" (2009), has garnered 31 citations and demonstrates a sophisticated application of Barbalat's theorem and Lyapunov techniques to achieve robust tracking control despite unknown camera parameters — a practically significant challenge in real-world deployments. Complementing this, Mei's work on sliding mode control for multi-robot formation and visual servoing regulation addresses the coordination and stability of robot groups in dynamic environments. Additional research into ultrasonic sensor-based obstacle avoidance reflects a broader commitment to making mobile robots practically deployable in unstructured settings. With a focused but impactful body of work accumulated primarily around 2008–2009, Mei's research provides foundational methodologies for engineers and researchers tackling uncertainty-aware control in mobile robotics.