Xiang Hua Luo
Papers
1
Total Citations
3
H-Index
1
About
Xiang Hua Luo is a robotics researcher whose work focuses on intelligent automation and computer vision systems for specialized industrial applications. His key research areas include robotic orientation systems, image processing, and autonomous navigation for maintenance robots. Luo's most notable contribution is his development of a vision orientation system based on OpenCV for glass curtain wall cleaning robots, as detailed in his 2013 paper. This work addresses a critical challenge in high-rise building maintenance by enabling robots to autonomously detect edges and apply Hough transforms to monocular camera images, allowing precise positioning during cleaning operations. While his citation count of 3 reflects the niche nature of his research, the practical significance of his work lies in advancing robotic solutions for dangerous and labor-intensive tasks. Luo's research demonstrates how computer vision techniques can be adapted to solve real-world engineering problems, contributing to the growing field of service robotics and automated maintenance systems.
Research Focus
Key Achievements
Top Papers
- 1