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:
May. 23, 2023

Filed:

Jul. 27, 2020
Applicant:

Autodesk, Inc., San Francisco, CA (US);

Inventors:

Hui Li, San Francisco, CA (US);

Evan Patrick Atherton, San Carlos, CA (US);

Erin Bradner, San Francisco, CA (US);

Nicholas Cote, San Francisco, CA (US);

Heather Kerrick, Oakland, CA (US);

Assignee:

AUTODESK, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); B25J 9/16 (2006.01); G06N 20/00 (2019.01); G05B 19/418 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06F 30/20 (2020.01); G06T 17/00 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1671 (2013.01); B25J 9/161 (2013.01); B25J 9/163 (2013.01); B25J 9/1605 (2013.01); G05B 19/41885 (2013.01); G06F 30/20 (2020.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 17/00 (2013.01); G05B 2219/32017 (2013.01); G05B 2219/35353 (2013.01);
Abstract

One embodiment of the present invention sets forth a technique for controlling the execution of a physical process. The technique includes receiving, as input to a machine learning model that is configured to adapt a simulation of the physical process executing in a virtual environment to a physical world, simulated output for controlling how the physical process performs a task in the virtual environment and real-world data collected from the physical process performing the task in the physical world. The technique also includes performing, by the machine learning model, one or more operations on the simulated output and the real-world data to generate augmented output. The technique further includes transmitting the augmented output to the physical process to control how the physical process performs the task in the physical world.


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