Papers
1
Total Citations
39
H-Index
1
About
Weili Fang is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on advanced control strategies for mobile robots. Her most cited work, "Global Fuzzy Adaptive Hierarchical Path Tracking Control of a Mobile Robot With Experimental Validation" (2015, 39 citations), introduces a novel hierarchical control framework that integrates fuzzy logic and adaptive techniques to address the complex dynamics of wheeled mobile robots. By designing a dual-layer sliding surface—first controlling the virtual motor current to indirectly regulate the robot’s three-dimensional pose—Fang’s approach achieves robust path tracking even under model uncertainties and external disturbances. This work is notable for its experimental validation, bridging the gap between theoretical control design and real-world deployment. Fang’s contributions have significant implications for autonomous navigation in unstructured environments, with applications ranging from industrial automation to service robotics. Her research continues to influence the development of adaptive, model-free control systems, making her a key figure in the advancement of intelligent mobile robot technologies.
Research Focus
Key Achievements
Top Papers
- 1