Simon Wittl
Papers
7
Total Citations
28
H-Index
4
About
Simon Wittl is an emerging researcher specializing in industrial X-ray computed tomography (CT), with a particular focus on robotic CT systems, geometric calibration, and dimensional measurement accuracy. His work centers on a transformative concept known as twin robotic CT — systems that employ two independent industrial robotic arms to manipulate the X-ray source and detector, dramatically expanding the flexibility and capability of conventional CT imaging. Wittl's most significant contributions address the core technical challenges that robotic CT systems introduce: geometric accuracy and calibration. His 2023 paper evaluating the accuracy of twin robotic CT systems has garnered 10 citations, establishing foundational benchmarks for the field. Complementing this, he has pioneered AI-driven calibration methods and developed efficient calibration approaches for arbitrary scan trajectories, ensuring that the added flexibility of robotic systems does not compromise measurement precision. His research on pose repeatability further bridges theoretical accuracy and real-world industrial application. Through multiple contributions — including state-of-the-art reviews and novel online pose estimation methods — Wittl has helped define the current challenges and future directions of robotic CT research. With a cumulative citation count approaching 30 across recent publications, his work is rapidly gaining recognition as the field of flexible industrial CT continues to expand.
Research Focus
Key Achievements
Top Papers
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