Kristoffer Stampe
Papers
1
Total Citations
4
H-Index
1
About
Kristoffer Stampe is a researcher at the forefront of intelligent manufacturing, specializing in robotic laser welding, in-process quality monitoring, and the automation of complex geometric fabrication. His work addresses a critical challenge in modern production: ensuring weld quality in double-curved and intricate geometries where traditional inspection methods fall short. Stampe’s most cited study, "Quality Inspection System for Robotic Laser Welding of Double-Curved Geometries" (2019, 4 citations), introduces a novel framework that links joint location, laser focal point trajectory, and process parameters to weld integrity. By leveraging in-process monitoring, he demonstrates how real-time data acquisition can provide sufficient process knowledge for post-inspection, enabling accurate evaluation of geometrical weld quality without costly manual checks. This contribution is pivotal for industries like aerospace and automotive, where precision and reliability are paramount. Though early in his citation impact, Stampe’s work lays a strong foundation for adaptive, data-driven quality control in robotic welding, marking him as an emerging voice in smart manufacturing and process automation.
Research Focus
Key Achievements
Top Papers
- 1