Cui Xuanyu

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Cui Xuanyu is a researcher specializing in multi-robot systems, autonomous decision-making, and dynamic path planning within the high-stakes environments of RoboCup competitions. His work addresses two core challenges in robotics: efficient navigation in complex, unpredictable settings and strategic collaboration among autonomous agents. In his highly cited 2015 paper on the RoboCup Rescue Simulation, Xuanyu introduced an improved ant colony algorithm enhanced by Target Vantage Value (TVV) technology, a novel approach that significantly optimizes dynamic path planning for disaster response scenarios. This work, garnering 6 citations, provides a critical framework for robots navigating hazardous, real-time environments. Complementing this, his research on RoboCup 3D soccer simulation tackles the fundamental problem of low convergence rates in training local strategies for humanoid robots. By proposing a method to optimize parameters in decision-making and positioning using a Markov decision process, Xuanyu advanced the field of multi-robot collaboration, achieving 5 citations for this contribution. Together, these studies demonstrate his impact on developing robust, intelligent systems capable of coordinated action under pressure, laying essential groundwork for future applications in search-and-rescue and competitive robotics.