Zhongmin Wang

Papers

Total Citations

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About

Zhongmin Wang is a researcher whose work bridges robotics, control theory, and wireless sensor networks. His primary research areas include mobile robotics, adaptive control, and networked systems, with a particular focus on differential drive mechanisms and disturbance compensation. Wang’s most cited paper, “Design and Control for Differential Drive Mobile Robot” (2017, 20 citations), provides foundational insights into the kinematics and control of these widely used robots. He made notable contributions to the MAS-net (Mobile Actuator and Sensor Network) project, where his 2005 paper on pattern formation experiments introduced node mobility and closed-loop control to wireless sensor networks, using Mica2 motes to build a practical experimental platform. Another key work, “State-dependent disturbance compensation in low-cost wheeled mobile robots using periodic adaptation” (2005, 6 citations), presents an adaptive controller that effectively handles friction and eccentricity-induced disturbances in low-cost robots. Wang’s research is characterized by its practical focus on real-world implementation challenges, from sensor network coordination to affordable robotic systems. His work has been cited over 33 times, demonstrating its relevance to researchers in robotics and control engineering.