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About

Niklas Handke is an emerging researcher specializing in industrial X-ray computed tomography (CT), with a particular focus on robotic CT systems and their application to large-scale, high-precision measurement tasks. His work sits at the intersection of robotics, imaging science, and dimensional metrology, addressing some of the most pressing challenges in flexible industrial inspection technology. Handke's most notable contributions center on twin robotic CT systems — configurations in which two independent robotic arms manipulate the X-ray source and detector around an object of interest. His widely cited 2025 review, "RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems," has rapidly become a key reference in the field, accumulating citations across multiple publication venues. Complementing this, his 2024 study on pose repeatability directly tackles the accuracy limitations that arise when robotic CT systems deviate from standard circular scan trajectories, providing critical insight for trajectory calibration in high-flexibility systems. His more recent work on online pose estimation using unknown spheres advances practical calibration methodologies, reducing uncertainty in real-world deployment scenarios. Though early in his career, Handke's research is already shaping how the scientific community understands and addresses the geometric and operational challenges of next-generation robotic CT metrology systems.