Xiang Pei
Papers
1
Total Citations
40
H-Index
1
About
Xiang Pei is a leading researcher in the field of rehabilitation robotics, with a primary focus on lower extremity exoskeletons and human–robot cooperation. His most influential work, "Non-linear sliding mode control of the lower extremity exoskeleton based on human–robot cooperation" (2016, 40 citations), introduces a novel control strategy that significantly enhances tracking performance while minimizing human–robot interaction forces. By integrating radial basis function neural networks to model complex human–machine interactions, Pei’s approach enables more intuitive and adaptive exoskeleton assistance, directly improving user comfort and safety. This contribution is pivotal for advancing assistive technologies for individuals with mobility impairments. Pei’s research bridges control theory and biomechanics, offering practical solutions for real-world rehabilitation applications. His work is widely cited in the robotics and rehabilitation communities, underscoring its impact on developing smarter, more responsive exoskeletons that can seamlessly cooperate with human users.
Research Focus
Key Achievements
Top Papers
- 1