Guoxiang Liu
Papers
1
Total Citations
24
H-Index
1
About
Guoxiang Liu is a researcher whose work sits at the intersection of automation, robotics, and civil infrastructure inspection. His primary research focus is the development of intelligent detection systems for large-scale engineering components, with a particular emphasis on railway infrastructure. Liu’s most notable contribution is the design of an automatic detection system that integrates 3D scanning technology with robotic manipulation to precisely measure the surface dimensions of track slabs. This work, published in 2022 and garnering 24 citations, addresses a critical need in high-speed rail maintenance: replacing manual, error-prone inspections with fast, accurate, and repeatable automated processes. By combining advanced sensor data with robotic control, Liu’s system enhances both the safety and efficiency of track quality assurance. His research sits at the forefront of applying Industry 4.0 principles to civil engineering, demonstrating how robotics and computer vision can solve real-world infrastructure challenges. For students and researchers interested in the practical deployment of automation, Liu’s work offers a compelling case study in bridging laboratory innovation with field-ready solutions.
Research Focus
Key Achievements
Top Papers
- 1