Yukun Yang

Papers

Total Citations

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About

Yukun Yang is a researcher specializing in mobile robotics and autonomous navigation, with a particular focus on path planning algorithms. His major contribution lies in advancing heuristic-based search methods for real-time robot motion planning, most notably through the development of the Focused D* Lite (FDL) algorithm. This work directly addresses critical limitations in the traditional D* Lite algorithm—namely low search efficiency, high computational cost, and redundant search ranges—by introducing targeted optimizations at both the node and path levels. While his most-cited paper, "Mobile Robot Path Planning Based on the Focused Heuristic Algorithm" (2022), currently holds 2 citations, it represents a foundational step toward more efficient and practical solutions for dynamic environments. Yang’s research is particularly relevant for applications in autonomous vehicles, warehouse logistics, and field robotics, where rapid and reliable replanning is essential. His work contributes to the broader goal of making mobile robots more adaptive and computationally efficient in real-world scenarios, offering a promising direction for future improvements in heuristic-based path planning.