The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 17, 2026

Filed:

Jun. 13, 2022
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Thomas Kollar, San Jose, CA (US);

Kevin Stone, Palo Alto, CA (US);

Michael Laskey, Oakland, CA (US);

Mark Edward Tjersland, Mountain View, CA (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); B25J 9/16 (2006.01); G06T 7/10 (2017.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); H04N 13/128 (2018.01); H04N 13/275 (2018.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
B25J 9/1697 (2013.01); B25J 9/1661 (2013.01); G06T 7/10 (2017.01); G06T 7/73 (2017.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); H04N 13/128 (2018.05); H04N 13/275 (2018.05); G06T 2207/10021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20228 (2013.01); H04N 2013/0081 (2013.01); H04N 2013/0092 (2013.01);
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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