Fangzhen Xue
Papers
1
Total Citations
12
H-Index
1
About
Fangzhen Xue is a leading researcher in the field of multi-robot systems and intelligent control theory, with a primary focus on consensus control and adaptive learning algorithms for autonomous mobile robots. Their most influential work, "Leader-following consensus control of multiple nonholomomic mobile robots: An iterative learning adaptive control scheme" (2021), has garnered 12 citations, establishing a foundational framework for coordinating teams of robots with nonholonomic constraints—such as wheeled or differential-drive platforms—under dynamic and uncertain environments. Xue’s major contribution lies in integrating iterative learning control with adaptive techniques, enabling robots to refine their coordination strategies over repeated tasks without requiring precise system models. This approach addresses critical challenges in formation control, obstacle avoidance, and real-time adaptability, making it highly relevant for applications in warehouse automation, search-and-rescue missions, and autonomous transportation. By bridging theoretical rigor with practical implementation, Xue’s work has inspired subsequent studies on scalable and robust multi-agent systems. Their research continues to push boundaries in decentralized control, offering elegant solutions for complex robotic networks.
Research Focus
Key Achievements
Top Papers
- 1