Papers
1
Total Citations
24
H-Index
1
About
Baolin Luo is a researcher specializing in intelligent manufacturing, robotics, and automated inspection systems for infrastructure. His work focuses on integrating 3D scanning technology with robotic automation to enhance precision and efficiency in industrial quality control. Luo’s most-cited paper, “Automatic detection system with 3D scanning and robot technology for detecting surface dimension of the track slabs” (2022, 24 citations), exemplifies his contribution to railway infrastructure maintenance. This study introduces a novel system that combines high-resolution 3D scanning with robotic manipulation to automatically measure and detect dimensional deviations in track slabs, significantly reducing manual inspection errors and improving safety in high-speed rail networks. His research bridges the gap between computer vision, robotics, and civil engineering, offering practical solutions for real-world asset management. Luo’s work has been recognized for its potential to streamline maintenance workflows and lower operational costs in transportation systems. With a growing citation impact, he continues to advance automated inspection methodologies, positioning himself as an emerging voice in smart infrastructure and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1