Zenghuai Wang

Huazhong University of Science and Technology

Papers

Total Citations

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About

Dr. Zenghuai Wang is a leading researcher in rehabilitation robotics and intelligent control systems, with a particular focus on pneumatic muscle-driven robotic arms. His most cited work, "Fuzzy neural network control of the rehabilitation robotic arm driven by pneumatic muscles" (2015, 29 citations), addresses the critical challenge of controlling high-order, time-delayed, and highly nonlinear robotic systems. Wang's major contribution lies in developing a fuzzy neural network (FNN) controller that significantly outperforms classical PID controllers in managing the complex dynamics of pneumatic muscle actuators. This innovation has direct implications for improving the precision and safety of rehabilitation devices used in physical therapy, enabling more natural and adaptive assistance for patients with motor impairments. His work bridges the gap between advanced computational intelligence and practical biomedical engineering, demonstrating how neural-fuzzy systems can handle the inherent uncertainties in human-robot interaction. With 29 citations, this foundational paper has influenced subsequent research in soft robotics and adaptive control for medical applications, establishing Wang as a key figure in the development of intelligent, human-friendly robotic systems for rehabilitation.