Xueliang Cheng

Papers

Total Citations

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About

Xueliang Cheng is a robotics researcher specializing in multi-agent path planning and intelligent control systems. His work addresses critical challenges in coordinating autonomous robots in shared environments, with a particular focus on conflict resolution and priority-based navigation. In his most-cited paper, "Priority Planning for Robots via Fuzzy Logic Controller" (2023), Cheng introduced a novel algorithm that integrates fuzzy logic with maritime traffic rules (COLREGs) to resolve path planning conflicts among multiple robots by dynamically assigning priority levels. This innovative approach bridges the gap between real-world navigation regulations and autonomous decision-making, offering a robust framework for safe and efficient multi-robot coordination. While his citation count is still growing, Cheng’s work demonstrates significant potential for applications in warehouse automation, autonomous shipping, and collaborative robotics. His research stands out for its creative synthesis of established traffic rules with fuzzy logic, providing a practical solution to a fundamental problem in robotics. As an emerging scholar, Cheng is laying the groundwork for more sophisticated, regulation-aware autonomous systems.