Papers

2

Total Citations

14

H-Index

2

About

Peimin Xie is an emerging researcher specializing in rehabilitation robotics and adaptive control systems, with a particular focus on developing intelligent control strategies for upper-limb rehabilitation technologies. Their work addresses one of the most pressing challenges in assistive robotics: creating control frameworks that can dynamically adapt to the complex, variable nature of human movement during therapeutic interventions. Xie's most significant contribution lies in the development of compensation-corrective adaptive control strategies for upper-limb rehabilitation robots, a body of work that has garnered 14 citations across two landmark publications. Their 2024 paper, building upon foundational learning-based methods introduced in 2022, demonstrates a clear research trajectory toward increasingly sophisticated, data-driven approaches that enhance robot responsiveness and therapeutic precision. By integrating learning-based techniques with corrective compensation mechanisms, Xie has helped push the boundaries of how rehabilitation robots can intelligently respond to patient-specific motor deficits. Though early in their research career, Xie's rapid citation growth — particularly the 2024 paper accumulating 11 citations shortly after publication — signals growing recognition within the rehabilitation engineering community and positions them as a promising contributor to the future of human-robot interaction in clinical settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Compensation-corrective adaptive control strategy for upper-limb rehabilitation robots
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National University of Singapore, South China University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago