Shengyao Fan

Wuxi Institute of Technology

Papers

2

Total Citations

9

H-Index

2

About

Shengyao Fan is a robotics researcher whose work sits at the intersection of rehabilitation engineering and bioinspired locomotion. His primary research areas include assistive robotic systems for medical rehabilitation and the design of climbing robots that mimic biological organisms. Fan’s most notable contribution is a bilateral robotic system for lower extremity hemiparesis rehabilitation, which integrates reinforcement learning into its control architecture. This system allows hemiplegic patients to perform voluntary rehabilitation exercises with robotic assistance, enhancing motor recovery through adaptive, patient-driven interaction. This work has garnered 7 citations, reflecting its relevance in the growing field of robot-assisted therapy. Additionally, Fan has contributed to the design of a bioinspired wall-climbing robot capable of multi-locomotion modes. Drawing inspiration from geckos and flies, the robot employs spiny and adhesive belts to adapt to various wall surfaces, demonstrating versatility in vertical locomotion. With 2 citations, this study showcases Fan’s ability to translate biological principles into practical engineering solutions. Together, these contributions highlight Fan’s commitment to advancing both human-centered robotics and nature-inspired design, offering promising pathways for rehabilitation technology and autonomous climbing systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A robotic system with reinforcement learning for lower extremity hemiparesis rehabilitation
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Wuxi Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago