Zuquan Wu

Papers

Total Citations

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About

Dr. Zuquan Wu is a leading researcher in rehabilitation robotics and intelligent control systems, with a specialized focus on exoskeleton technology for human motion assistance. His most impactful work, "Disturbance-observer-based Neural Sliding Mode Repetitive Learning Control of Hydraulic Rehabilitation Exoskeleton Knee Joint with Input Saturation" (2022, 13 citations), exemplifies his innovative approach to addressing critical challenges in robotic rehabilitation. In this study, Dr. Wu developed a sophisticated control framework that integrates disturbance observers, neural networks, and sliding mode repetitive learning to enhance the stability and precision of hydraulic exoskeleton knee joints under input saturation constraints. This contribution is pivotal for improving the safety and effectiveness of rehabilitation devices for patients with lower-limb impairments. His research bridges advanced control theory and practical biomedical engineering, offering robust solutions for real-world clinical applications. Dr. Wu's work has garnered attention for its potential to revolutionize physical therapy, making robotic exoskeletons more adaptive and reliable. As a dedicated scholar, he continues to push the boundaries of human-robot interaction, aiming to restore mobility and improve quality of life for individuals with motor disabilities.