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. 01, 2020

Filed:

Jun. 26, 2019
Applicant:

X Development Llc, Mountain View, CA (US);

Inventors:

Adrian Li, San Francisco, CA (US);

Nicolas Hudson, San Mateo, CA (US);

Aaron Edsinger, Port Costa, CA (US);

Assignee:

X DEVELOPMENT LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 20/00 (2019.01); B25J 9/16 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00664 (2013.01); B25J 9/163 (2013.01); B25J 9/1697 (2013.01); G06N 20/00 (2019.01); G06T 7/74 (2017.01); B25J 9/1633 (2013.01); B25J 9/1651 (2013.01); B25J 9/1669 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); Y10S 901/47 (2013.01);
Abstract

Methods, apparatus, systems, and computer-readable media are provided for generating spatial affordances for an object, in an environment of a robot, and utilizing the generated spatial affordances in one or more robotics applications directed to the object. Various implementations relate to applying vision data as input to a trained machine learning model, processing the vision data using the trained machine learning model to generate output defining one or more spatial affordances for an object captured by the vision data, and controlling one or more actuators of a robot based on the generated output. Various implementations additionally or alternatively relate to training such a machine learning model.


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