Tao Luo

Papers

Total Citations

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About

Tao Luo is a researcher whose work spans precision measurement systems and augmented reality-based robotics navigation. His most significant contribution lies in the field of accelerator alignment, where he tackled a critical challenge in large-scale metrology: the accumulation of errors in multi-station laser tracker measurements. His 2020 paper on fixing positions and orientations of laser trackers during bundle adjustment in multi-station measurements has garnered 27 citations, demonstrating meaningful impact within the precision engineering and particle accelerator alignment communities. This work addresses the demanding requirements of tunnel measurements — both annular and straight configurations — where even minor accumulated errors can compromise the integrity of complex scientific infrastructure. Beyond metrology, Luo has extended his expertise into intelligent systems, contributing to the development of AR-Bot, a centralized augmented reality-based platform designed to enhance robot relocalization and home navigation. Though earlier in its citation trajectory, this work reflects Luo's broader interest in applying advanced sensing and spatial reasoning technologies across diverse domains. His research profile suggests a researcher comfortable bridging highly precise physical measurement challenges with emerging human-robot interaction technologies.