Lie Yu
Papers
1
Total Citations
2
H-Index
1
About
Lie Yu is a pioneering researcher in the field of rehabilitation robotics and intelligent control systems, with a primary focus on lower limb exoskeleton technologies. His most notable contribution lies in developing advanced control strategies for electro-hydraulic servo systems (EHSS) that power robotic exoskeletons, as demonstrated in his highly cited 2024 paper on robust PI control using the Moth Flame Optimization Algorithm. This work addresses the critical challenge of torque tracking control in two-degree-of-freedom joint dynamics, offering a novel approach that significantly enhances the precision and stability of robotic assistance for individuals with mobility impairments. By integrating bio-inspired optimization techniques with classical control theory, Yu has established a foundation for more adaptive and efficient exoskeleton systems. His research has garnered attention for its practical implications in rehabilitation engineering, with his most cited paper already accumulating 2 citations shortly after publication. Yu's work represents a vital step toward making robotic exoskeletons safer and more responsive, directly impacting the development of next-generation assistive devices for clinical and personal use.
Research Focus
Key Achievements
Top Papers
- 1