Zhong Wen
Papers
2
Total Citations
14
H-Index
2
About
Zhong Wen is a dedicated researcher in rehabilitation robotics, with a primary focus on lower extremity exoskeletons and human-robot interaction for active rehabilitation training. His work centers on developing intelligent control strategies that adapt to patients’ voluntary efforts, particularly through impedance control and trajectory adaptation for walking rehabilitation robots. Wen’s major contributions include pioneering methods to measure and extract the coupling force between the exoskeleton and the subject during training. In his 2011 paper, he applied the Newton-Euler method to build dynamic models for both the powered exoskeleton and the human subject, proposing a novel technique to isolate the subject’s active force from the overall interaction. This work laid the foundation for designing a specialized mechanism to quantify human-robot coupling forces, enabling more responsive and patient-driven therapy. Although his most-cited papers have garnered modest citation counts (8 and 6, respectively), they represent foundational steps in the field of active rehabilitation robotics. Wen’s research is notable for its practical engineering approach, bridging dynamic modeling and sensor design to create safer, more effective robotic training systems for individuals with lower limb impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2