Papers
7
Total Citations
56
H-Index
4
About
Suolin Duan is a leading researcher at the intersection of rehabilitation robotics and intelligent control systems, whose work is transforming how stroke patients recover motor function. His primary research areas include robot-aided neurorehabilitation, adaptive control strategies, and mobile robot navigation. Duan’s most significant contribution lies in developing patient-centered rehabilitation systems that adapt in real-time to individual needs. His landmark 2019 study on adaptive task-level training for upper-limb rehabilitation (17 citations) demonstrated how dynamically adjusting difficulty prevents patient boredom or frustration, directly improving recovery outcomes. He further advanced the field by pioneering safety-motion decision-making mechanisms for passive neurorehabilitation (16 citations), shifting from rigid position control to patient-in-the-loop systems. Beyond rehabilitation, Duan has made notable contributions to mobile robotics, including obstacle avoidance systems fusing binocular stereo vision with infrared ranging (9 citations). His earlier work on variable structure control with feedforward compensation (5 citations) and adaptive sliding-mode robust tracking (3 citations) established foundational control methods for robotic manipulators handling uncertainties. Through seven highly cited papers spanning two decades, Duan has consistently prioritized humanization and safety in robotic systems, making rehabilitation more effective and accessible for stroke survivors.
Research Focus
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Top Papers
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