Lan Ban

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About

Lan Ban is a rising researcher in the field of multi-robot motion planning (MRMP), with a focus on integrating global and local navigation strategies for autonomous systems. Their most notable contribution is the development of the A*-TEB algorithm, an improved approach that synergizes the global pathfinding capabilities of the A* algorithm with the local optimization strengths of the Timed Elastic Band (TEB) strategy. This work directly addresses a critical gap in MRMP: the need for robots to maintain both long-range consistency and real-time local adaptability, thereby reducing conflicts during path execution. With 4 citations since its 2025 publication, this paper has quickly garnered attention for its practical impact on real-world multi-robot coordination. Ban’s research is particularly relevant for applications in warehouse logistics, autonomous fleets, and collaborative robotics, where efficient and conflict-free motion is essential. By bridging the divide between global planning and local execution, Lan Ban is establishing themselves as an innovative voice in the robotics community, with future work likely to further refine adaptive, scalable solutions for complex multi-agent environments.