Papers
5
Total Citations
46
H-Index
4
About
Yuanjie Fan is a leading researcher in rehabilitation robotics, with a focus on lower and upper extremity exoskeletons for stroke recovery and mobility assistance. His work spans mechanism design, human-robot coupling dynamics, and intelligent control strategies. Fan’s most cited paper (24 citations) introduces a novel 3-RPS parallel mechanism for an ankle exoskeleton, addressing the critical challenge of balancing compactness, rigidity, and load-bearing capacity—a design that has influenced subsequent wearable robotic systems. He also developed a 4M model-based human-machine interface for lower extremity exoskeletons (10 citations), enhancing intuitive user control. His contributions extend to human-robot coupling dynamic modeling for upper limb rehabilitation robots (5 citations), which improves interaction safety and effectiveness. Notably, Fan proposed a center-of-mass estimation and control strategy for body-weight-support treadmill training (4 citations), enabling more adaptive and active gait rehabilitation for post-stroke patients. His work on real-time motion decoding using time-frequency characteristics (3 citations) further advances exoskeleton responsiveness. With a career dedicated to bridging mechanical design and human-centered control, Fan’s research has laid foundational principles for safer, more effective rehabilitation exoskeletons, impacting both clinical practice and robotic design.
Research Focus
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Top Papers
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