Markus Eberhorn
Papers
2
Total Citations
6
H-Index
2
About
Markus Eberhorn is a leading researcher in industrial X-ray computed tomography (CT), with a focused expertise on twin robotic CT systems. His work centers on advancing flexible, non-destructive testing by employing two independent robotic arms to maneuver the X-ray source and detector around an object. Eberhorn’s major contribution is pioneering the "RoboCT" framework, which enables high-quality scans of large or complex components that are impossible to examine with conventional fixed CT setups. His most-cited paper, "RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems" (2025), has accumulated 6 citations and systematically outlines the technology’s potential for image quality optimization, scan time reduction, and expanded inspection capabilities. Eberhorn’s research addresses critical challenges in industrial metrology and quality assurance, positioning him as a key figure in the evolution of adaptive CT scanning. His work is particularly notable for bridging the gap between robotics and radiographic imaging, offering practical solutions for scanning oversized objects while maintaining precision. For students and researchers, Eberhorn’s contributions represent a transformative step toward more versatile, automated inspection systems in manufacturing and materials science.
Research Focus
Key Achievements
Top Papers
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