Anton Weiss
Papers
6
Total Citations
25
H-Index
4
About
Anton Weiss is a researcher specializing in industrial robotic computed tomography (CT), with a particular focus on the emerging field of twin robotic CT systems — configurations in which two independent robotic arms manipulate the X-ray source and detector to enable highly flexible imaging trajectories. His work addresses one of the central challenges in this domain: ensuring geometric accuracy and calibration precision when moving away from the rigid mechanical constraints of conventional CT systems. Weiss has made notable contributions to both the theoretical and practical dimensions of robotic CT, developing methods for geometric calibration across arbitrary scan trajectories, AI-assisted marker mapping for projection geometry estimation, and online pose estimation using unknown calibration spheres. His 2023 paper on simulated and experimental accuracy evaluation of twin robotic CT systems has garnered 10 citations, establishing an early benchmark in the field. His comprehensive state-of-the-art reviews on RoboCT challenges have further positioned him as a key voice shaping the community's understanding of current limitations and future directions. With a growing publication record accumulating over 25 citations across six papers, Weiss is an emerging contributor whose research is helping lay the groundwork for next-generation flexible industrial CT inspection systems.
Research Focus
Key Achievements
Top Papers
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