Matthias Herbst
Papers
2
Total Citations
21
H-Index
2
About
Matthias Herbst is a leading researcher in industrial metrology, specializing in the intersection of robotics and X-ray computed tomography (CT). His work focuses on overcoming critical limitations in non-destructive testing, particularly for large or complex objects that cannot be accommodated by conventional CT systems. Herbst’s major contributions center on quantifying and mitigating the errors introduced by using industrial robots as manipulators for CT scanning. His most-cited paper (2020, 14 citations) systematically evaluates how faulty scanning trajectories degrade image quality, establishing a framework for error compensation. In a foundational 2019 study (7 citations), he used laser interferometry to precisely measure the positioning accuracy of standard industrial robots, revealing the deviations that must be corrected for reliable CT imaging. This work is pivotal for advancing flexible, robot-based CT systems that can inspect components in situ, reducing the need for disassembly. Herbst’s research bridges robotics and metrology, enabling higher-quality scans in aerospace, automotive, and manufacturing sectors. His findings are essential for engineers developing automated inspection systems, and his rigorous experimental approach has set benchmarks for accuracy in robotic CT, making him a key figure in the evolution of industrial quality control.
Research Focus
Key Achievements
Top Papers
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