Guowei Xu
Papers
2
Total Citations
5
H-Index
2
About
Guowei Xu is a researcher specializing in intelligent robotics and 3D perception for industrial environments, with a focus on substation inspection automation. His work addresses critical challenges in autonomous navigation and environmental mapping for robots operating in complex, dynamic settings. Xu’s major contributions include developing an intelligent navigation method for substation inspection robots using 3D point cloud data, which enables robots to avoid dynamic obstacles like personnel and equipment despite signal limitations and multipath interference. He also advanced automatic registration techniques for 3D point clouds, solving issues caused by lighting changes, equipment movement, and occlusion that degrade matching accuracy. While his most-cited papers—published in 2024 with 3 and 2 citations respectively—are early in their impact, they represent foundational steps toward robust, real-world deployment of inspection robots in challenging industrial spaces. Xu’s research is particularly notable for tackling practical constraints in substations, such as spatial interference and environmental variability, making his work valuable for engineers and researchers advancing field robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2