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About

Jochen Hiller is a leading researcher in the field of robotic X-ray computed tomography (CT), with a particular focus on trajectory optimisation and image quality enhancement for industrial inspection applications. His work sits at the intersection of robotics, imaging science, and metrology, exploring how six-axis industrial robots can overcome the physical limitations of conventional CT systems through flexible, non-circular scanning trajectories. Hiller's most significant contributions include the development of automated workflows for optimising scanning trajectories using quantitative, Tuy-based local quality estimation — a novel measure that predicts reconstruction quality before a scan is even performed. His research on twin-robotic CT systems has further expanded the possibilities for complex trajectory design in both industrial and medical contexts. Collectively, his most-cited publications have accumulated over 90 citations, reflecting growing community interest in next-generation CT methodologies. Beyond trajectory planning, Hiller has investigated the practical challenges of robotic CT deployment, including the impact of faulty trajectories on reconstruction quality and the positioning accuracy of standard industrial robots, assessed via laser interferometry. Together, these contributions have helped establish a rigorous scientific foundation for robotic CT as a viable, high-precision tool for industrial non-destructive testing.