Papers

4

Total Citations

29

H-Index

3

About

Zhiwei Liang is a robotics and rehabilitation engineering researcher whose work sits at the intersection of assistive technology and clinical medicine, with a focus on helping stroke survivors regain functional independence. His most significant contributions center on developing intelligent control systems for upper-limb rehabilitation robots, particularly adaptive frameworks that respond dynamically to a patient's real-time biomechanical condition. His 2012 paper on adaptive hierarchical control for muscle strength training, which has garnered 12 citations, introduced a landmark therapy framework integrating patient biomechanics into progressive rehabilitation protocols — a meaningful advance in personalized robotic therapy. This work was complemented by his 2014 clinical study, cited 11 times, which validated novel fuzzy-logic-based PID control algorithms through real patient trials, bridging the gap between theoretical robotics and bedside application. Liang has also contributed to the mechanical design of rehabilitation hardware, as evidenced by his 2018 work on shoulder exoskeleton development. Across his body of research, he has championed resistance-based, patient-adaptive training paradigms that adjust to individual recovery trajectories, offering a clinically grounded approach to robotic rehabilitation that continues to influence the field.

Research Focus

Key Achievements

3
H-Index
4
Papers
29
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Hierarchical Control for the Muscle Strength Training of Stroke Survivors in Robot-Aided Upper-Limb Rehabilitation
12 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Nanjing University of Posts and Telecommunications, Southeast University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago