Papers

4

Total Citations

17

H-Index

2

About

Liaoyuan Li is a researcher at the forefront of rehabilitation robotics, dedicated to restoring motor function for stroke survivors and individuals with upper limb paralysis. Li’s work centers on developing intelligent, patient-centric robotic systems that address critical gaps in existing rehabilitation technology. A key contribution is the design of a novel end-effector upper limb rehabilitation robot, which leverages dual quaternion kinematics for precise modeling and low-speed spiral motion control for compliant, safe interaction. This work, cited 8 times, tackles the common issues of complex mechanisms and insufficient compliance in current robots. Li further advances the field by integrating customized trajectory optimization with compliant tracking control, ensuring that passive rehabilitation training is both highly accurate and tailored to individual patient characteristics. Notably, Li’s research explores innovative training paradigms, such as a new active rehabilitation mode inspired by Tai Chi Pushing Hands, which introduces culturally grounded, engaging, and theoretically supported exercises to combat the monotony of single-mode training. With a growing body of work that prioritizes safety, personalization, and clinical applicability, Liaoyuan Li is making significant strides toward practical, effective, and accessible robotic rehabilitation solutions.

Research Focus

Key Achievements

2
H-Index
4
Papers
17
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A novel end-effector upper limb rehabilitation robot: Kinematics modeling based on dual quaternion and low-speed spiral motion tracking control
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Henan University of Science and Technology, Hubei University of Automotive Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago