Hang Zhong

Papers

Total Citations

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About

Hang Zhong is an emerging researcher specializing in mobile robotics, motion planning, and autonomous navigation in dynamic environments. His most notable contribution to date is the development of the Fast Reactive Tree (FRT\*) algorithm, introduced in 2025, which addresses one of the most persistent challenges in robotics: enabling mobile robots to replan their paths quickly and efficiently when navigating unknown, dynamic environments. The FRT\* algorithm integrates innovative components including inverted tree construction and convex hull techniques to significantly enhance replanning speed while simultaneously reducing overall navigation costs — a dual improvement that is particularly valuable for real-world robotic deployment. Although Zhong's publication record is still in its early stages, with FRT\* already accumulating 3 citations shortly after publication, his work is attracting attention within the robotics and path-planning research communities. His research sits at a critical intersection of algorithmic efficiency and practical autonomous systems, contributing meaningful advancements to how robots perceive and respond to unpredictable surroundings. As autonomous systems become increasingly prevalent in warehouses, search-and-rescue operations, and urban environments, Zhong's contributions position him as a promising voice in next-generation robot navigation research.