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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.

Patent No.:

US 11887363 B1

PDFFull Text
Date of Patent:
Jan. 30, 2024

Filed:

Sep. 27, 2019

Training a deep neural network model to generate rich object-centric embeddings of robotic vision data

Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Soeren Pirk, Palo Alto, CA (US);

Yunfei Bai, Fremont, CA (US);

Pierre Sermanet, Palo Alto, CA (US);

Seyed Mohammad Khansari Zadeh, San Carlos, CA (US);

Harrison Lynch, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:

Gray Ice Higdon

Primary Examiner:

Yosef Kassa

Int. Cl.
CPC ...
G06V 20/10 (2022.01); B25J 9/16 (2006.01); B25J 13/00 (2006.01); G05B 13/02 (2006.01); G06N 3/08 (2023.01); G10L 15/22 (2006.01); G06F 18/21 (2023.01); G06F 18/2413 (2023.01); G06V 10/764 (2022.01); G06V 10/70 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/10 (2022.01); B25J 9/1697 (2013.01); B25J 13/003 (2013.01); G05B 13/027 (2013.01); G06F 18/217 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/768 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G10L 15/22 (2013.01);
Abstract

Training a machine learning model (e.g., a neural network model such as a convolutional neural network (CNN) model) so that, when trained, the model can be utilized in processing vision data (e.g., from a vision component of a robot), that captures an object, to generate a rich object-centric embedding for the vision data. The generated embedding can enable differentiation of even subtle variations of attributes of the object captured by the vision data.

Find Patent Forward Citations

Pirk, Soeren. (2024). Training a deep neural network model to generate rich object-centric embeddings of robotic vision data (U.S. Patent No. 11887363). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11887363

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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