Xinglai Jin
Papers
2
Total Citations
61
H-Index
2
About
Xinglai Jin is a leading researcher in the field of rehabilitation robotics, with a primary focus on the control and human–robot interaction of lower extremity exoskeletons. His major contributions lie in developing advanced, non-linear control strategies that enable exoskeletons to move in seamless cooperation with their human wearers. Jin’s work masterfully integrates sliding mode control with adaptive fuzzy logic and neural networks to model complex human–machine interactions. His most influential work, "Non-linear sliding mode control of the lower extremity exoskeleton based on human–robot cooperation" (2016, 40 citations), pioneered a controller that simultaneously improves tracking performance while minimizing the human–robot interaction force. Building on this, his 2017 study on single-input adaptive fuzzy sliding mode control (21 citations) introduced a sophisticated dual-subsystem design to accurately decode the wearer’s motion intention. By prioritizing both precise mechanical tracking and reduced physical burden on the user, Jin’s research directly addresses the core challenge of making exoskeletons intuitive and safe for everyday use, establishing him as a key innovator in assistive robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2