Xuyang Wang

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Xuyang Wang is a robotics researcher whose work focuses on intelligent path planning and autonomous navigation, particularly within the competitive domain of robotic soccer. His primary contribution lies in advancing motion planning algorithms for the RoboCup Standard Platform League, where he addresses the critical challenge of enabling robots to navigate dynamic, adversarial environments with speed and precision. Wang’s most cited paper, “Path Planning of Soccer Robot Based on Improved Heuristic RRT* Algorithm” (2022), proposes a novel enhancement to the Informed Rapidly-exploring Random Tree* (RRT*) framework. By introducing a heuristic-guided sampling strategy, his algorithm significantly improves the purposefulness and efficiency of initial path searching, overcoming the common limitations of poor convergence and low search efficiency in traditional RRT* methods. This work has garnered 3 citations, reflecting its niche but valuable contribution to the field. Wang’s research is particularly notable for its practical application in real-time, high-stakes scenarios like RoboCup, where split-second decisions and optimal trajectories are essential. His innovations not only advance robotic soccer but also offer transferable insights for autonomous vehicles, drone navigation, and other domains requiring rapid, adaptive path planning in cluttered spaces.