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About

Thomas Ulrich is a researcher specializing in industrial metrology, kinematic measurement systems, and uncertainty estimation, with particular expertise in laser tracker technology and its application to robotic systems. His most significant contributions center on developing rigorous methods for quantifying measurement uncertainty in dynamic, real-world industrial environments — a challenge that has historically been underserved compared to static measurement scenarios. Ulrich's most cited work (2012, 6 citations) introduced novel uncertainty estimation techniques for kinematic laser tracker measurements, addressing the limitations of manufacturer approximations and conventional analytical methods. He extended this framework in 2014 (4 citations) by incorporating robot control information into uncertainty modeling, enabling more reliable spatiotemporal deviation assessment of industrial robot movements. His 2016 work further advanced uncertainty modeling for high-precision trajectories in large-volume metrology applications, pushing the field toward robust real-time measurement capabilities. Beyond metrology, Ulrich has contributed to mobile robotics through research on sensor fusion, combining geometric LIDAR data with visual information for simultaneous localization and mapping in outdoor environments. Collectively, his work bridges precision measurement science and applied robotics, offering practical tools for industries where accurate kinematic tracking is critical to quality assurance and automation reliability.