Xiaoming Lin
Papers
1
Total Citations
8
H-Index
1
About
Xiaoming Lin’s research lies at the intersection of rehabilitation robotics and intelligent control systems, with a focus on developing adaptive, human-centered robotic assistance for medical therapy. His most cited work introduces a dynamic model-based fuzzy-impedance interaction control strategy for rehabilitation robots, addressing a critical challenge in active rehabilitation training: the need to adaptively modulate the interaction force between the robot and a patient’s limbs in real time. By combining fuzzy logic with impedance control, Lin’s approach enables robots to respond more naturally and safely to varying patient conditions, enhancing the effectiveness of therapy. This foundational paper has garnered 8 citations, reflecting its influence in the growing field of assistive robotics. Lin’s contributions are particularly notable for bridging theoretical control methods with practical clinical applications, offering a pathway toward more intuitive and responsive rehabilitation devices. His work continues to inspire researchers seeking to improve human-robot interaction in therapeutic settings, where safety, adaptability, and patient comfort are paramount.
Research Focus
Key Achievements
Top Papers
- 1