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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-12552040-B2, on 17 February 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-2026-000002846

System and method for unknown object manipulation from pure synthetic stereo data

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Classification
Robotics & Automation › Robot Architectures
Inventors
KOLLAR THOMAS, LASKEY MICHAEL, STONE KEVIN, TJERSLAND MARK EDWARD
Assignee
TOYOTA MOTOR CO LTD, TOYOTA RES INST INC
Original source
US-12552040-B2, the United States Patent and Trademark Office, 17 February 2026
Document SHA-256
36ed71b520f1703f8f6ddeb1c80e8e5446c59ea12309736a1c60fd6ea85cc7ad

Abstract

A method for training a neural network to perform 3D object manipulation is described. The method includes extracting features from each image of a synthetic stereo pair of images. The method also includes generating a low-resolution disparity image based on the features extracted from each image of the synthetic stereo pair of images. The method further includes generating, by the neural network, a feature map based on the low-resolution disparity image and one of the synthetic stereo pair of images. The method also includes manipulating an unknown object perceived from the feature map according to a perception prediction from a prediction head.

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Citation

OpenTechnical Publication OT-2026-000002846, “System and method for unknown object manipulation from pure synthetic stereo data,” published September 15, 2026 at 19:15:44 UTC, https://opentechnical.org/p/OT-2026-000002846.

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