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:
Dec. 03, 2024

Filed:

Nov. 04, 2020
Applicant:

Intrinsic Innovation Llc, Mountain View, CA (US);

Inventors:

Olivier Pauly, Munich, DE;

Stefan Hinterstoisser, Munich, DE;

Hauke Heibel, Höhenkirchen-Siegertsbrunn, DE;

Martina Marek, Munich, DE;

Martin Bokeloh, Munich, DE;

Assignee:

Intrinsic Innovation LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06N 3/045 (2023.01); G06F 18/2155 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06V 10/751 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing image data. One of the method includes receiving an input image from a source domain, the input image showing an object to be manipulated by a robot in a robotic process; processing the input image to generate an intermediate representation of the input image, comprising: generating a gradient orientation representation and a gradient magnitude representation of the input image; and generating the intermediate representation of the input image from the gradient orientation representation and the gradient magnitude representation; processing the intermediate representation of the input image using a neural network trained to make predictions about objects in images to generate a network output that represents a prediction about physical characteristics of the object in the input image.


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