Papers
12
Total Citations
316
H-Index
7
About
Jin-Shin Lai is a prominent researcher specializing in rehabilitation robotics, exoskeleton systems, and assistive control technologies for upper limb recovery. His work sits at the intersection of biomedical engineering, human-robot interaction, and intelligent control systems, with a particular focus on developing robotic solutions for patients recovering from stroke, frozen shoulder, and other neurological and orthopedic disorders. Lai's most significant contributions center on the design and control of upper limb exoskeleton robots, most notably the NTUH-II platform, which he has continuously refined across multiple studies. His 2016 paper on assistive control systems, garnering 110 citations, established foundational methods for multi-mode rehabilitation incorporating force/torque sensing and dynamic human modeling. He has since advanced the field by integrating deep learning-based motion prediction into exoskeleton control, as demonstrated in his 2019 work (72 citations), enabling more natural and synchronized human-robot movement during therapy. Beyond hardware development, Lai has explored sensorless control schemes, EMG-based intention prediction, bilateral arm training, and velocity field-based assistive control, showcasing a comprehensive and evolving research vision. With nearly 310 cumulative citations, his work has meaningfully shaped how rehabilitation robots interact with and adapt to individual patients, offering clinicians quantifiable tools to improve recovery outcomes.
Research Focus
Key Achievements
Top Papers
- 1Assistive Control System for Upper Limb Rehabilitation Robot110 citations · 2016
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- 10A gravity compensation-based upper limb rehabilitation robot6 citations · 2012