Jianmin Xu
Papers
2
Total Citations
6
H-Index
2
About
Jianmin Xu is a robotics and control systems researcher whose work focuses on the intelligent control of robotic manipulators, blending classical control theory with modern computational intelligence techniques. His research spans adaptive control, fuzzy logic, and evolutionary algorithms, with a particular emphasis on developing robust solutions for complex robotic systems operating under uncertainty. In his 2002 work on globally stable adaptive control of robot manipulators, Xu applied Lyapunov stability theory to rigorously prove global stability guarantees for an adaptive inverse dynamics control algorithm — a contribution notable for its practical implementability and robustness to parameter uncertainty and payload variation. His earlier 1999 study explored the fusion of fuzzy logic and genetic learning algorithms for hybrid position/force control of constrained flexible-link manipulators, demonstrating a forward-thinking approach to combining soft computing methods with challenging robotic control problems. While his citation counts remain modest, Xu's work addresses foundational challenges in making robotic systems adaptable, stable, and reliable — themes of enduring importance as robotics continues to advance across industrial and research applications.
Research Focus
Key Achievements
Top Papers
- 1Globally stable adaptive controller of robot manipulators3 citations · 2002
- 2