Xu Long

Huzhou University, State Key Laboratory of Industrial Control Technology

Papers

Total Citations

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About

Dr. Xu Long is a rising star in robotics, whose work is at the cutting edge of autonomous navigation and swarm intelligence. His primary research focuses on developing decentralized, real-time planning algorithms for multi-robot systems operating in complex, cluttered environments. Dr. Long’s most impactful contribution, detailed in his highly cited 2023 paper (19 citations), introduces a novel decentralized framework for car-like robotic swarms. This work is notable for its use of environmental topology to guide pathfinding, enabling swarms to navigate without frequent collisions or deadlocks—a critical advancement for real-world deployment in warehouses or disaster zones. In his more recent 2024 work (2 citations), Dr. Long addresses a fundamental challenge in LiDAR-based localization: maintaining accuracy in feature-poor environments (e.g., deserts or fog). His "LF-3PM" framework introduces a perturbation-induced metric for perception-aware planning, generating trajectories that actively improve a robot's localization stability. This forward-thinking approach promises to make autonomous systems far more reliable in adverse conditions. With a clear trajectory toward solving the hardest problems in field robotics, Dr. Xu Long is a researcher to watch.