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Microscopic ground texture enables micron-level robot localization

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Aaron Wilhelm et al. posted a paper on arXiv proposing a global localization system for mobile robots that uses microscopic optical observation of natural ground microtexture; across multiple surface textures, all localization attempts succeeded in each of 1,007 held-out queries per texture, with translational RMSE of 28–73 micrometers. The system also achieved localization on a low-cost mobile robot using maps collected with a calibrated precision gantry, and can resolve micron-scale displacements caused by thermal expansion; the difference between independent photometric registration and feature-based localization estimates is approximately 9 micrometers RMSE. The authors established the relationship between optical magnification and image-space localization uncertainty with physical localization accuracy, and addressed calibration, camera modeling, and focusing issues in high-magnification imaging.

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  1. Micro-Localization: Achieving Micrometer-Level Localization for Mobile Robots Using Microscopic Ground Texture

    The arXiv paper Micro-Localization demonstrates high-precision global localization using microscopic optical observation of natural ground texture, achieving localization accuracy on the order of tens of micrometers. The authors established the relationship between optical magnification and image-space localization uncertainty on the one hand and physical localization accuracy on the other, and addressed the calibration, camera modeling, and focusing challenges introduced by high-magnification imaging.

    arXiv cs.RO ·

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