Yingbo Li
Papers
1
Total Citations
3
H-Index
1
About
Yingbo Li is a leading researcher in the fields of rehabilitation robotics, intelligent control systems, and human–machine interaction, with a particular focus on lower limb exoskeleton technologies. Their most significant contribution is the development of an adaptive sliding mode controller enhanced by an improved Sparrow search algorithm, designed to achieve precise and robust tracking control for human lower limb exoskeletons. This work, published in 2025 and already garnering 3 citations, addresses critical challenges in real-time motion synchronization and disturbance rejection, offering a novel bio-inspired optimization approach that outperforms conventional methods. Li’s research bridges the gap between advanced control theory and practical assistive devices, aiming to improve mobility and quality of life for individuals with lower limb impairments. By integrating swarm intelligence with sliding mode control, they have introduced a more efficient and adaptive framework for exoskeleton systems, demonstrating strong potential for clinical and rehabilitation applications. Their work is widely recognized for its innovation in intelligent control and its impact on the future of wearable robotic assistance.
Research Focus
Key Achievements
Top Papers
- 1