Shuonan Xiao
Papers
1
Total Citations
3
H-Index
1
About
Shuonan Xiao is a rising researcher in automation and computer vision, with a focus on solving real-world industrial challenges. Their key research areas include robotic perception, object recognition, and automated depalletizing systems. Xiao’s most notable contribution is the development of a novel recognition and positioning system for black, light-absorbing objects—a notoriously difficult problem in vision measurement. By proposing an image recognition algorithm that leverages reference environment information, Xiao overcame the limitations of RGB-D cameras, which struggle to capture structured light from such surfaces. This work, published in 2024, has already garnered 3 citations, signaling early impact in the field of industrial automation. The system enables precise spatial positioning of black volutes, a critical step toward fully automated depalletizing processes. Xiao’s innovative approach addresses a gap in vision-based automation, offering practical solutions for manufacturing and logistics. As their research continues to gain traction, Shuonan Xiao is poised to make further contributions to intelligent robotic systems and machine vision.
Research Focus
Key Achievements
Top Papers
- 1