Xiaoying Li
Papers
1
Total Citations
3
H-Index
1
About
Xiaoying Li is a robotics researcher whose work centers on autonomous navigation, particularly for car-like robots operating in challenging, uneven environments. Her major contribution is the development of SEB-Naver, a pioneering SE(2)-based local navigation framework that addresses the critical gap between flat-terrain planning and real-world off-road conditions. By integrating traversability assessment with terrain-associated kinematic modeling, Li’s framework enables safer and more efficient motion planning on non-flat surfaces—a problem that has long hindered field robotics applications. Though early in her career, her most-cited paper (2025) has already garnered 3 citations, signaling growing interest from the autonomous navigation community. This work stands out for its novel approach to combining geometric and kinematic constraints, offering a practical solution for agricultural, mining, or search-and-rescue robots. Li’s research is particularly notable for its direct applicability to real-world systems, bridging theoretical modeling with hardware constraints. As her citation trajectory suggests, she is a rising voice in field robotics, with her SEB-Naver framework likely to become a reference point for future uneven-terrain navigation studies.
Research Focus
Key Achievements
Top Papers
- 1