Dominik Scheurenberg
Papers
1
Total Citations
5
H-Index
1
About
Dominik Scheurenberg is a researcher focused on advancing intelligent manufacturing and robotic welding systems. His primary research areas include weld seam geometry control, in situ process monitoring, and adaptive trajectory correction for gas metal arc welding (GMAW). Scheurenberg’s major contribution lies in developing a novel approach that correlates the arc centroid position from real-time process images with the weld seam flank ratio, enabling precise, closed-loop control of weld geometry during robot welding. This work, detailed in his most-cited paper from 2020, demonstrates how image-based feedback can dynamically correct robot trajectories, improving weld quality and consistency without post-process inspection. Although his citation count is currently modest—with his top paper garnering five citations—this reflects the emerging nature of his research area. His work holds significant potential for industries reliant on automated welding, such as automotive and aerospace manufacturing, by reducing defects and increasing production efficiency. Scheurenberg’s innovative integration of computer vision and robotic control marks him as a promising contributor to the field of smart manufacturing and process automation.
Research Focus
Key Achievements
Top Papers
- 1