Papers
2
Total Citations
45
H-Index
2
About
Legeng Lin is a pioneering researcher in neural rehabilitation robotics, with a core focus on restoring motor function after stroke through advanced human-robot interaction. His work bridges the critical gap between active robotic assistance and passive sensory feedback, addressing the complex challenge of somatosensorimotor integration (SMI) in post-stroke recovery. Lin’s most cited paper (2019, 40 citations) introduces a hand exoskeleton with dual active-passive control modes, leveraging FPGA and Android platforms for real-time, adaptive rehabilitation—a design that directly targets neural relearning in stroke patients. More recently, his 2024 work (5 citations) deepens this approach by emphasizing the reconstruction of disrupted SMI pathways, arguing that robotic systems must integrate somatosensory input to achieve precise motor restoration. This perspective challenges conventional robot-assisted therapy, which often prioritizes movement repetition over sensory-motor coupling. Lin’s contributions are notable for their translational potential: by combining hardware innovation with neurorehabilitation principles, he offers a scalable framework for personalized therapy. His research is increasingly cited in rehabilitation engineering and neuroscience circles, positioning him as a key voice in the evolution of intelligent, sensory-aware robotic systems for clinical recovery.
Research Focus
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Top Papers
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