Lee-Kai Liu
Papers
2
Total Citations
15
H-Index
2
About
Lee-Kai Liu is a leading researcher in rehabilitation robotics, specializing in the development of intelligent exoskeleton systems for upper-limb therapy. His work centers on sensorless control strategies and human intention estimation, aiming to create more responsive and effective rehabilitation devices. Liu's major contributions include the design of the NTUH-II exoskeleton robot, which integrates electromyography (EMG) intention prediction with an interactive torque controller to assist patients with orthopedic or neurological shoulder impairments. His 2017 paper on this topic has garnered 9 citations, highlighting its influence in the field. In his 2019 study, Liu advanced sensorless control by employing a Kalman filter-based torque observer to estimate friction and human intention, enabling active-mode rehabilitation without external sensors. With a total of 15 citations across his most-cited works, Liu's research bridges the gap between robotic assistance and patient-driven therapy, offering practical solutions for restoring motor function. His innovative approach to intention-driven control systems positions him as a key contributor to the future of adaptive rehabilitation technology.
Research Focus
Key Achievements
Top Papers
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