Xing Fu

Guangzhou Institute of Advanced Technology

Papers

Total Citations

H-Index

About

Xing Fu is a researcher specializing in robotics, autonomous systems, and intelligent algorithm design, with a particular focus on mobile robot navigation and multi-robot coordination. Fu's work addresses critical challenges in real-world robotics applications, bridging theoretical algorithm development with practical deployment in domains such as e-commerce logistics and automated warehousing. Fu's most notable contribution to date is an improved A* algorithm for mobile robot path planning, which tackles longstanding inefficiencies in traditional pathfinding methods — specifically reducing node expansion overhead and eliminating redundant nodes through a multi-neighborhood hybrid search strategy. This work has garnered 10 citations since its 2025 publication, reflecting rapid uptake within the robotics research community. Complementing this, Fu proposed a Swiss Round Selection Algorithm for multi-robot task scheduling, offering a more stable and efficient framework for task allocation in complex multi-agent logistics environments, accumulating 5 citations since 2024. Together, these contributions position Fu as an emerging voice in intelligent robotics and optimization, with research directly applicable to the growing demands of automated fulfillment systems. Students and researchers working on path planning, swarm robotics, or warehouse automation will find Fu's algorithmic innovations both practically relevant and methodologically insightful.