Yongli Xu
Papers
1
Total Citations
2
H-Index
1
About
Yongli Xu is a pioneering researcher in the field of rehabilitation robotics and human-machine interaction, with a primary focus on developing intelligent control systems for lower limb exoskeletons. His most cited work, "Perceiving and predicting the intended motion with human-machine interaction force for walking assistive exoskeleton robot," introduces a groundbreaking hybrid control method that leverages human-machine interaction force (HMIF) to address the inherent challenges of "man in the loop" dynamics. By innovatively combining force perception with motion prediction, Xu's research enables exoskeleton robots to anticipate and respond to a user's intended movements, significantly enhancing walking assistance for individuals with mobility impairments. This work has garnered 2 citations, reflecting its foundational role in advancing adaptive exoskeleton control. Xu's contributions are particularly notable for bridging the gap between human intent and robotic response, a critical step toward intuitive and safe assistive technologies. His research holds promise for applications in rehabilitation, elderly care, and industrial support, positioning him as a key figure in the evolution of wearable robotics.
Research Focus
Key Achievements
Top Papers
- 1