Xulu Xue

Papers

Total Citations

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About

Xulu Xue’s research focuses on intelligent robotics and computational optimization, with key contributions in mobile robot navigation and multi-agent decision-making. In their highly cited 2019 work on mobile robot path planning, Xue introduced an innovative approach by applying an improved Particle Swarm Optimization (PSO) algorithm within a polar coordinate system. This method effectively addresses the common challenge of particles becoming trapped in local optima, offering a more robust solution for autonomous navigation—a critical advancement for real-world robotic systems. With 7 citations, this paper has provided a practical framework for researchers tackling path planning in dynamic environments. Additionally, Xue’s 2019 study on soccer robot decision-making leverages rough set theory to handle vague and uncertain information, enabling more efficient attribute reduction and strategic reasoning. This work, though with 2 citations, demonstrates a novel application of rough sets to enhance the discernibility and decision speed of robotic agents in competitive settings. Together, these contributions underscore Xue’s role in advancing both the theoretical and applied aspects of intelligent robotics, offering valuable tools for students and engineers working on autonomous systems and optimization algorithms.