Pengfei Zhang

Beijing University of Technology, Beijing Institute of Technology, Northeastern University

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About

Pengfei Zhang is a robotics and rehabilitation engineering researcher whose work sits at the intersection of mechanical design, control systems, and clinical application. Best known for his contributions to robotic rehabilitation technology, Zhang has made significant strides in developing intelligent systems that restore motor function to patients with neurological or musculoskeletal impairments. His 2019 paper on the Parallel Wrist Rehabilitation Robot (PWRR), which has garnered 52 citations, stands as a landmark contribution, presenting a novel parallel mechanism architecture with rigorous performance analysis that has influenced subsequent rehabilitation device design. Building on this foundation, his 2023 work on lower limb exoskeleton robots introduced adaptive control strategies that respond to a patient's motor intention and training status — a meaningful advancement toward personalized, patient-driven rehabilitation. Zhang's research also extends into computer vision and robot perception; his earlier work on multi-RPN fusion with sparse PCA-CNN demonstrates a sustained interest in making robotic systems more spatially aware and autonomous. Across his career, Zhang has established himself as a versatile contributor to intelligent rehabilitation robotics, combining mechanical innovation with sophisticated control and perception methodologies to improve real-world patient outcomes.