{
  "abstract": "Systems and methods for real-time localization and pose correction of a robot are provided. An example system may obtain sensor data of a localized environment, odometry data indicating the robot's movement in the localized environment, and environmental data including a global two-dimensional model depicting a global environment. The system may generate a localized three-dimensional model depicting the localized environment, and generate a localized two-dimensional model of the localized environment based upon transforming the localized three-dimensional model. The system may obtain an indication of an estimated pose of the robot in the localized environment, perform a registration of the localized two-dimensional model with the global two-dimensional model based upon the estimated pose, and generate corrected pose data indicating a corrected pose of the robot. The system may configure the robot using the corrected pose data to identify the corrected pose of the robot within the global environment.",
  "assignees": [
    "FIELD AI INC"
  ],
  "authors": [
    "CHUNG CHANYOUNG",
    "FAN DAVID",
    "LAM CONNOR",
    "PALIERI MATTEO"
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  "source_date": "2026-03-12",
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  "title": "Real-time localization and pose correction of a robot",
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