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:
Apr. 25, 2017

Filed:

Nov. 14, 2014
Applicant:

Brain Corporation, San Diego, CA (US);

Inventors:

Borja Ibarz Gabardos, La Jolla, CA (US);

Andrew Smith, San Diego, CA (US);

Peter O'Connor, San Diego, CA (US);

Assignee:

Brain Corporation, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2006.01); G06N 3/00 (2006.01);
U.S. Cl.
CPC ...
B25J 9/163 (2013.01); B25J 9/1607 (2013.01); B25J 9/1666 (2013.01); B25J 9/1697 (2013.01); G05D 1/0088 (2013.01); G05D 1/0246 (2013.01); G06N 3/00 (2013.01); G05D 2201/02 (2013.01); Y10S 901/01 (2013.01); Y10S 901/03 (2013.01); Y10S 901/09 (2013.01); Y10S 901/47 (2013.01);
Abstract

A robotic device may be operated by a learning controller comprising a feature learning configured to determine control signal based on sensory input. An input may be analyzed in order to determine occurrence of one or more features. Features in the input may be associated with the control signal during online supervised training. During training, learning process may be adapted based on training input and the predicted output. A combination of the predicted and the target output may be provided to a robotic device to execute a task. Feature determination may comprise online adaptation of input, sparse encoding transformations. Computations related to learning process adaptation and feature detection may be performed on board by the robotic device in real time thereby enabling autonomous navigation by trained robots.


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