Yanwen Huang
Papers
3
Total Citations
133
H-Index
3
About
Yanwen Huang is a leading figure in mobile robotics, whose work has fundamentally advanced the motion planning and control of autonomous systems. Her research centers on dynamic path planning, omnidirectional mobile robot (OMR) control, and the integration of evolutionary algorithms with artificial potential fields (APF). Huang’s most impactful contribution is her pioneering “Evolutionary Artificial Potential Field Algorithm,” which solved a critical limitation of traditional APF methods by enabling robots to navigate environments with moving targets and obstacles—a breakthrough that has garnered 92 citations and remains a cornerstone in the field. She further refined this approach for omnidirectional robots, introducing the “revolving factor” in an improved APF method (iAPF) to enhance maneuverability in complex, anisotropic conditions. Her work on path-tracking controllers, which account for wheel slip in dynamic, high-acceleration settings like RoboCup competitions, demonstrates her commitment to real-world applicability. With a total of 133 citations across her most-cited papers, Huang’s research has profoundly influenced both academic theory and practical robotics, providing foundational solutions for autonomous navigation in unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3