Zhang Guo-hui

Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Zhang Guo-hui is a researcher specializing in intelligent manufacturing and robotic vision systems, with a particular focus on welding automation. His most notable contribution is the development of an automatic hand-eye calibration method for welding robots using linear structured light, published in 2024. This work addresses critical challenges in industrial robotics—namely, the long calibration times, low precision, and operational complexity that have traditionally hindered efficient robot deployment. By employing the AX = ZB calibration equation, his algorithm streamlines the calibration process, enhancing both speed and accuracy. Though his work is still emerging, with his top-cited paper accumulating 4 citations to date, it represents a practical advancement with clear potential for real-world impact in automated welding lines. Zhang’s research sits at the intersection of computer vision, sensor integration, and robotic control, offering a solution that reduces manual intervention and improves manufacturing consistency. His work is particularly relevant for researchers and engineers seeking to optimize robotic precision in industrial settings, and it signals a promising trajectory in the field of intelligent manufacturing systems.