Feng Zhang

Papers

Total Citations

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About

Feng Zhang is a robotics and rehabilitation engineering researcher whose work has made meaningful contributions to the field of assistive and therapeutic technologies. His most recognized research focuses on the development of intelligent control systems for lower limb rehabilitation robots, addressing the critical clinical need for effective, adaptable robotic assistance for patients recovering from conditions such as paraplegia and hemiplegia. His 2012 landmark paper on impedance control-based training strategies introduced a sophisticated three-mode framework — encompassing passive, damping-active, and spring-active training — for a three-degree-of-freedom rehabilitation robot, demonstrating both technical ingenuity and a deep understanding of patient rehabilitation requirements. This work, which has garnered 29 citations, reflects Zhang's ability to bridge mechanical engineering, control theory, and clinical application in a cohesive research vision. By developing controllers with unified structural design across multiple training modalities, Zhang advanced the practical deployability of rehabilitation robotics, making it easier to translate laboratory systems into real-world therapeutic settings. His contributions offer valuable insights for researchers and engineers working at the intersection of human-robot interaction, medical robotics, and motor recovery science.