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. 20, 2022

Filed:

Oct. 14, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

John Anthony Dougherty, Philadelphia, PA (US);

Rizwan Ahmed, Lafayette, CA (US);

Stephen Marc Chaves, Philadelphia, PA (US);

Aleksandr Kushleyev, Philadelphia, PA (US);

Paul Daniel Martin, Philadelphia, PA (US);

Daniel Warren Mellinger, III, Raleigh, NC (US);

Michael Joshua Shomin, Philadelphia, PA (US);

Michael Franco Taveira, San Diego, CA (US);

Matthew Hyatt Turpin, Waltham, MA (US);

Travis Van Schoyck, Bordentown, NJ (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G06F 21/31 (2013.01); G06F 21/00 (2013.01); B64C 39/02 (2006.01); G05D 1/10 (2006.01); G06F 3/0488 (2022.01);
U.S. Cl.
CPC ...
G05D 1/0022 (2013.01); B64C 39/024 (2013.01); G05D 1/0016 (2013.01); G05D 1/101 (2013.01); G06F 21/00 (2013.01); G06F 21/316 (2013.01); B64C 2201/146 (2013.01); G06F 3/0488 (2013.01);
Abstract

Methods, systems, and devices for automatically customizing operation of a robotic vehicle are described. The method may include identifying an operator, retrieving an operator profile and associated metadata for the operator from a database, where the metadata includes operator habit information, and configuring the robotic vehicle based on existing preference-based and performance-based settings, where the existing preference-based and performance-based settings are based on the metadata. The methods may include identifying operator habit information during operation of the robotic vehicle, deriving updated preference-based and performance-based settings for the operator based on the identified operator habit information, and providing, to the database, modifications to the metadata associated with the operator profile of the operator.


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