Jiaming Fan

Shenzhen University Health Science Center, Key Laboratory of Guangdong Province, University Town of Shenzhen

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About

Jiaming Fan is a rising force in the field of rehabilitation robotics, with a focused research agenda on intelligent, AI-driven systems for human motor recovery. His work bridges advanced control theory with practical, patient-centered mechanical design. Fan’s most cited paper, “AI-driven rehabilitation and assistive robotic system with intelligent PID controller based on RBF neural networks” (2022, 25 citations), showcases his core contribution: integrating neural network-based adaptive control to enhance the precision and responsiveness of robotic therapy. This approach allows for more natural, patient-specific assistance during rehabilitation. Furthering this mission, Fan has pioneered the design of compact, end-effector ankle rehabilitation robots. His 2024 paper introduces a novel CEARR system featuring a bilaterally symmetrical structure with three independent degrees of freedom per side, specifically targeting range of motion recovery for stroke patients. This work, alongside his 2023 design for a 3-DOF end-effector robot, addresses critical clinical needs like foot drop and pronation by accommodating different rehabilitation postures. With a growing citation footprint, Fan is establishing himself as a key innovator in making robotic rehabilitation more accessible, intelligent, and effective for restoring human mobility.