Peter Landstorfer
Papers
3
Total Citations
29
H-Index
3
About
Peter Landstorfer is a pioneering researcher in the field of industrial X-ray computed tomography (CT), with a specific focus on robotic-based imaging systems. His work addresses the critical challenge of scanning trajectory accuracy and flexibility in non-destructive testing of complex, multi-material objects. Landstorfer’s major contributions include the systematic evaluation of faulty scanning trajectories caused by industrial robot positioning errors, demonstrating how deviations—measured with laser interferometry—impact CT image quality. His 2020 paper on the impact of faulty trajectories has garnered 14 citations, while his 2019 investigations into non-circular scanning paths and robot positioning accuracy have received 8 and 7 citations respectively. These studies are foundational for advancing robot-based CT beyond the limitations of traditional Cartesian manipulators, enabling more adaptive and precise inspection of large or irregularly shaped industrial components. Landstorfer’s work is notable for bridging robotics and metrology, providing quantitative benchmarks for robot accuracy that are essential for reliable CT imaging. His research is highly relevant for engineers and scientists developing automated quality control systems in manufacturing, aerospace, and automotive industries.
Research Focus
Key Achievements
Top Papers
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