Honghai Liu
Shanghai Jiao Tong University, University of Portsmouth, Wuhan University of Science and Technology, Harbin Institute of Technology, King's College London, University of Aberdeen, Concordia University, Hefei University of Technology, Newcastle University, RWTH Aachen University, Kyushu University, University of London, Huazhong University of Science and Technology, Shenzhen Institute of Information Technology
Papers
122
Total Citations
2,644
H-Index
27
About
Honghai Liu is a distinguished researcher whose work spans robotics, human-machine interfaces, and intelligent sensing systems, with profound implications for rehabilitation engineering and assistive technology. His contributions to electromyography (EMG)-based control have significantly advanced robotic exoskeleton design, most notably through adaptive torque estimation methods that enhance active patient participation in rehabilitation—work that has garnered over 160 citations. Liu has pioneered multimodal sensing frameworks for human hand motion analysis and finger classification using ultrasound, pushing the boundaries of prosthetics and dexterous manipulation research. His investigations into robot-enhanced therapy for children with autism spectrum disorder demonstrate a commitment to translating engineering innovation into clinical practice, with his supervised autonomous robotic therapy systems achieving widespread recognition across two landmark publications totaling nearly 220 citations. Liu's expertise extends to precision sensing hardware, including fiber Bragg grating-based force/torque sensors and fingertip sensing devices that enable nuanced robot-environment interaction. His earlier theoretical work on fuzzy qualitative frameworks for robot kinematics further underscores his range across both foundational and applied domains. Collectively, his research portfolio represents a coherent vision: bridging intelligent sensing, human physiology, and autonomous robotics to improve human lives.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Human Hand Motion Analysis With Multisensory Information126 citations · 2013
- 4
- 5Ultrasound-Based Sensing Models for Finger Motion Classification110 citations · 2017
- 6
- 7A three-axis force fingertip sensor based on fiber Bragg grating90 citations · 2016
- 8
- 9
- 10