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. 10, 2024

Filed:

May. 04, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Nareshkumar Rajkumar, Cupertino, CA (US);

Patrick Leger, Belmont, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); B25J 9/16 (2006.01); G06F 16/28 (2019.01); G06N 5/02 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); B25J 9/163 (2013.01); B25J 9/1653 (2013.01); G06F 16/285 (2019.01); G06N 5/027 (2013.01); Y10S 901/01 (2013.01); Y10S 901/03 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for evaluating robot learning. In some implementations, a system receives classification examples from a plurality of remote devices over a communication network. The classification examples can include (i) a data representation generated by a remote device based on sensor data captured by the remote device and (ii) a classification corresponding to the data representation. The system assigns quality scores to the classification examples based on a level of similarity of the data representations with other data representations. The system selects a subset of the classification examples based on the quality scores assigned to the classification examples. The system trains a machine learning model using the selected subset of the classification examples.


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