Papers

2

Total Citations

10

H-Index

2

About

Dabao Fan is a rising researcher in the field of rehabilitation robotics and mobile robot design, with a focus on improving human-robot interaction and terrain adaptability. His key research areas include parallel mechanism synthesis, ankle rehabilitation robotics, and novel locomotion systems. Fan’s most significant contribution is his work on self-alignment parallel ankle rehabilitation robots, where he addresses the critical problem of real-time human-robot joint center alignment—a challenge that, if unsolved, can cause secondary injuries to patients. His 2024 paper on this topic, which has already garnered 6 citations, proposes a type synthesis method for incorporating suitable passive degrees of freedom, marking an important step toward safer and more effective rehabilitation devices. Additionally, Fan has explored innovative mobile robot designs, such as a wheel-legged robot based on the Rubik’s Cube mechanism, published in 2022 with 4 citations. This work demonstrates his ability to integrate strong coupling and variable topology concepts into mobile robotics, enhancing obstacle-crossing ability and stability. Though early in his career, Fan’s research shows promise in bridging mechanism theory with practical, patient-centered applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Type Synthesis of Self-Alignment Parallel Ankle Rehabilitation Robot with Suitable Passive Degrees of Freedom
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Dongguan University of Technology, Yanshan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago