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About

Fanfu Fang is a rising leader in rehabilitation robotics, specializing in intelligent systems that restore mobility for bedridden and critically ill patients. His research bridges lower-limb and upper-limb robotic rehabilitation, with a focus on human-machine kinematic harmony and quantitative assessment. Fang’s most cited work introduces a bedside cable-driven lower-limb robot designed for individuals with acute neurological disorders, enabling in-ward therapy where space is limited—a direct response to a critical clinical gap. He further advanced upper-limb rehabilitation by developing real-time glenohumeral joint trajectory tracking, significantly improving shoulder compliance and kinematic mapping between joint surfaces and bony motion. His contributions extend to protocol-driven clinical trials, such as the early efficacy study of suspended lower-limb robot therapy for intensive care unit-acquired weakness (ICUAW), addressing a severe complication with high morbidity. Notably, Fang’s recent work on “Gaze and Go” integrates eye-tracking and gamification to harness visual attention for neuroplasticity, marking a novel frontier in robotic rehabilitation. With a growing citation footprint and a focus on patient-centered, data-driven therapy, Fang is shaping the future of rehabilitation technology for the most vulnerable populations.