Papers
1
Total Citations
7
H-Index
1
About
Xuexiang Cen is a leading researcher in robotic vision and precision manufacturing, with a primary focus on automated measurement systems for industrial robotics. His most-cited work, "Automatic pose measurement of robotic drilling system based on zoom monocular vision" (2025), has already garnered 7 citations, reflecting its immediate impact on the field. Cen’s major contribution lies in developing novel monocular vision techniques that enable high-accuracy, real-time pose estimation for robotic drilling—a critical challenge in aerospace and automotive assembly. By integrating zoom lenses and advanced calibration algorithms, his approach reduces reliance on expensive multi-camera setups while improving measurement flexibility and robustness. This work has been recognized for its potential to enhance automation efficiency and quality control in manufacturing. Cen’s research bridges computer vision and robotics, offering practical solutions for industrial applications. His achievements highlight a commitment to advancing intelligent manufacturing, making him a notable figure in the growing intersection of vision-based metrology and robotic automation.
Research Focus
Key Achievements
Top Papers
- 1