Zhen Xiang
Papers
1
Total Citations
12
H-Index
1
About
Zhen Xiang is a researcher in intelligent robotics and power systems, with a focus on autonomous inspection technologies for critical infrastructure. His work addresses the fundamental challenge of path planning for substation inspection robots operating in complex, high-voltage environments. In his most-cited paper, "Optimal Inspection Path planning of substation robot in the complex substation environment" (2019, 12 citations), Xiang tackles the core problem of enabling robots to navigate safely and efficiently through intricate substation layouts—a task essential for replacing manual inspections in modern power grids. This contribution provides both theoretical foundations and practical algorithms for optimizing robot trajectories, directly supporting the industry-wide shift toward intelligent, automated maintenance systems. While his citation count reflects the specialized nature of his field, Xiang's research has meaningful implications for enhancing operational safety, reducing human risk, and improving the reliability of power infrastructure. His work stands at the intersection of robotics, optimization, and energy systems, offering practical solutions that bridge the gap between laboratory algorithms and real-world deployment in demanding industrial settings.
Research Focus
Key Achievements
Top Papers
- 1