Li Fan
Papers
2
Total Citations
11
H-Index
2
About
Li Fan is a leading researcher in robotics, with a core focus on autonomous navigation in complex environments. Her major contributions lie in the development of **conformal navigation transformations**, a groundbreaking framework that bridges path planning and motion control. Fan’s work addresses a fundamental challenge: enabling robots to navigate safely through arbitrary, non-convex workspaces—such as cluttered rooms or irregular polygonal corridors—by transforming them into a mathematically tractable "sphere world." Her 2022 paper on this method, cited 8 times, demonstrates how her transformations guarantee obstacle avoidance and convergence, while a subsequent work extends the approach to polygonal environments. This innovation offers a rigorous, provably safe alternative to heuristic navigation algorithms, with direct applications in warehouse logistics, search-and-rescue, and autonomous driving. By providing a unified solution to both path and motion planning, Fan’s research is shaping the next generation of intelligent, collision-free robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2