Xuewei Zhang

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About

Xuewei Zhang is a rising star in robotics and autonomous systems, whose work spans motion planning, state estimation, and multi-robot coordination. His most impactful contribution is the "You Only Plan Once" (YOPO) framework, a groundbreaking learning-based one-stage planner that unifies perception, mapping, and trajectory generation for quadrotors in cluttered environments—eliminating the traditional reliance on explicit maps. This work, already garnering 14 citations since 2024, represents a paradigm shift toward end-to-end planning. Zhang also made significant strides in state estimation with his work on loosely-coupled lidar-inertial odometry and mapping (10 citations), providing a robust, real-time solution for autonomous navigation. In multi-robot systems, he developed a distributed algorithm for task allocation using weighted buffered Voronoi partitions (7 citations), addressing the complex vehicle routing problem with time windows for disaster response scenarios. His research elegantly bridges learning-based methods with classical robotics, demonstrating practical impact in both single-agent agility and multi-agent coordination. Zhang's work is essential reading for researchers pushing the boundaries of autonomous navigation and collaborative robotics.