Steven Oeckl
Papers
2
Total Citations
6
H-Index
2
About
Steven Oeckl is a leading researcher at the forefront of industrial X-ray computed tomography (CT), with a specialized focus on twin robotic CT systems. His work centers on the development and optimization of "RoboCT" — a transformative approach that uses two independently controlled robotic arms to position the X-ray source and detector. This innovation overcomes the limitations of traditional gantry-based CT, enabling flexible, high-quality scans of large or complex objects. Oeckl’s major contributions include systematically mapping the current state and challenges of these systems, from image quality optimization to scan time reduction. His most-cited paper, "RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems" (2025), has garnered 4 citations, establishing a foundational reference for the field. By addressing key hurdles in robotic coordination and calibration, Oeckl’s work is paving the way for more adaptable, efficient non-destructive testing in manufacturing and materials science. His research is essential reading for engineers and scientists seeking to push the boundaries of industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1
- 2