Papers
3
Total Citations
76
H-Index
3
About
Hanhao Li is a researcher at the forefront of rehabilitation robotics, specializing in human-robot interaction, exoskeleton control, and intelligent actuation systems. His work focuses on making upper limb exoskeleton robots safer, more adaptive, and more responsive to patients’ needs during rehabilitation training. Li’s most cited paper (2020, 48 citations) introduces a motion intent recognition system that uses an altitude signal sensor and a modified adaptive Kalman filter to enhance human-robot interaction performance. He further advanced the field with a novel multi-information fusion method for detecting patient fatigue during training (2020, 25 citations), enabling more personalized and effective rehabilitation regimens. In a more recent contribution, Li proposed a variable stiffness flexible actuator for robot joints based on magnetorheological fluid (2020), addressing the critical safety and adaptability limitations of traditional high-rigidity robots. His research bridges mechanical design, signal processing, and clinical application, offering practical solutions for next-generation rehabilitation technologies. With a growing citation record and a clear focus on translational impact, Li is establishing himself as a key contributor to the development of intelligent, human-centered robotic systems for physical therapy.
Research Focus
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Top Papers
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