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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12564955-B2, on 3 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000002348

Modeling robot self-occlusion for localization

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
KLINGENSMITH MATTHEW
Assignee
BOSTON DYNAMICS INC
Original source
US-12564955-B2, the United States Patent and Trademark Office, 3 March 2026
Document SHA-256
fbb7f007d95134d328c9fba7eaa85809bfc54e31e7c47fca1b559eb514496f5b

Abstract

Methods and apparatus for localizing a robot in an environment are provided. The method comprises determining, for a first configuration of the robot at a first time, first sensor data that is not occluded by a portion of the robot, determining, for a second configuration of the robot at a second time, second sensor data that is not occluded by a portion of the robot, determining first overlapping data corresponding to second sensor data that overlaps the first sensor data when the robot is in the first configuration, and localizing the robot in the environment based on the first overlapping data and the second overlapping data.

Publication information

Citation

OpenTechnical Publication OT-2026-000002348, “Modeling robot self-occlusion for localization,” published September 15, 2026 at 19:12:24 UTC, https://opentechnical.org/p/OT-2026-000002348.

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