Xiaojing Lai
Papers
1
Total Citations
4
H-Index
1
About
Xiaojing Lai is a leading researcher in rehabilitation robotics, with a primary focus on the kinematic and dynamic analysis of cable-driven systems for upper limb therapy. Their most cited work introduces a novel spherical guide wheel cable-guiding mechanism (CGM) for a parallel cable-driven upper limb rehabilitation robot (PCUR). Lai’s major contribution lies in the accurate kinematic and stiffness analysis of this mechanism, directly addressing how CGMs influence the precision, movement stability, and overall dynamic performance of rehabilitation robots. By rigorously modeling these interactions, their research provides critical insights for designing safer, more responsive robotic exoskeletons that can better assist patients in regaining motor function. With 4 citations on this recent 2025 publication, Lai’s work is already gaining attention for its practical engineering solutions. Their research bridges the gap between theoretical mechanics and clinical application, offering a foundation for future innovations in assistive robotics. For students and researchers, Lai’s work exemplifies how detailed mechanical analysis can directly improve the efficacy and reliability of human-robot interaction in rehabilitation settings.
Research Focus
Key Achievements
Top Papers
- 1