Ye Xiaoping
Papers
1
Total Citations
5
H-Index
1
About
Ye Xiaoping is a leading researcher in the field of space robotics, with a primary focus on the dynamics and control of flexible-joint space manipulators. Their most notable contribution is the development of an adaptive neural network control method grounded in H∞ theory, designed to address critical challenges such as joint flexibility, modeling inaccuracies, and external disturbances. By establishing comprehensive dynamic models for free-floating space robots, Ye has pioneered robust vibration suppression techniques that enhance the precision and stability of space manipulators during operation. This work, published in 2023 and garnering 5 citations, represents a significant step forward in ensuring the safety and efficiency of robotic systems in the harsh environment of space. Ye’s research is particularly impactful for autonomous on-orbit servicing and assembly missions, where precise control is paramount. Their innovative integration of neural networks with H∞ optimization offers a scalable solution for complex, uncertain systems, marking them as a rising authority in intelligent space robotics and adaptive control theory.
Research Focus
Key Achievements
Top Papers
- 1