Han Haitjema

Papers

Total Citations

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About

Han Haitjema is a leading figure in precision engineering and industrial metrology, with a sharp focus on advancing robot vision systems and X-ray computed tomography (CT) for high-accuracy inspection. His research bridges the gap between flexible robotic automation and rigorous geometric qualification, tackling critical challenges in sensor-based quality control. A standout contribution is his work on viewpoint planning for range sensors, where he developed the concept of "feature cluster constrained spaces" to efficiently compute robust viewpoints for multi-feature robot vision tasks—a foundational approach for real-world applications, earning 9 citations since 2023. Equally impactful is his pioneering research on geometric qualification for robot CT with flexible trajectories, addressing the calibration of non-circular scanning paths to prevent reconstruction artifacts, a key enabler for adaptive, high-precision industrial inspection (7 citations, 2022). With a career marked by over a decade of influential publications, Haitjema’s work has shaped modern metrology, offering practical solutions that enhance the reliability and flexibility of automated inspection systems. His achievements underscore a commitment to solving real-world measurement challenges, making him a vital resource for students and researchers in robotics, manufacturing, and non-destructive testing.