Xiang Zheng

Papers

Total Citations

H-Index

About

Xiang Zheng is an emerging researcher specializing in intelligent robotics, autonomous navigation, and path planning algorithms, with a particular focus on practical applications in industrial and infrastructure inspection environments. His most notable work centers on advancing mobile robot navigation through hybrid algorithmic approaches, demonstrated in his development of an improved fusion of the A* and Dynamic Window Approach (DWA) algorithms for intelligent substation inspection robots. This contribution addresses critical real-world challenges in autonomous navigation, including global path planning inefficiency, redundant search nodes, and dynamic obstacle avoidance failures — problems that have long hindered reliable robotic deployment in complex electrical infrastructure settings. Published in 2025 and already accumulating 7 citations in a short period, this work signals a promising trajectory for Zheng's research impact within the robotics and automation community. His research sits at the intersection of classical algorithmic optimization and applied robotics, making his contributions relevant to engineers and researchers seeking practical, deployable solutions for autonomous inspection systems. As intelligent infrastructure monitoring continues to grow in importance, Zheng's work positions him as a noteworthy contributor to the field's advancement.