logo

For the Inventor, By the Inventor

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 11586178 B1

PDFFull Text
Date of Patent:
Feb. 21, 2023

Filed:

May. 28, 2021

Ai solution selection for an automated robotic process

Applicant:

Strong Force TX Portfolio 2018, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles Howard Cella, Pembroke, MA (US);

Jenna Lynn Parenti, Boulder, CO (US);

Taylor D. Charon, Troy, MI (US);

Assignee:

Strong Force TX Portfolio 2018, LLC, Fort Lauderdale, FL (US);

Attorney:

GTC Law Group PC & Affiliates

Primary Examiner:

Scott C Anderson

Int. Cl.
CPC ...
G05B 19/41 (2006.01); G05B 19/4155 (2006.01); G06N 5/04 (2023.01); B25J 9/16 (2006.01); G06N 20/00 (2019.01); G05B 13/02 (2006.01); B25J 13/00 (2006.01); G05B 19/18 (2006.01); G06F 3/01 (2006.01); G06N 3/04 (2023.01); G06F 16/27 (2019.01); G06F 16/23 (2019.01); G16Y 10/50 (2020.01); G16Y 40/10 (2020.01); G06F 9/46 (2006.01); G06F 9/54 (2006.01); G06K 9/62 (2022.01); G06N 3/08 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/10 (2023.01); G06Q 20/40 (2012.01); G06Q 30/018 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0208 (2023.01); G06Q 30/0207 (2023.01); G06Q 30/02 (2023.01); G06Q 40/02 (2023.01); G06Q 40/08 (2012.01); G06Q 50/00 (2012.01); G06Q 50/18 (2012.01); G06Q 50/26 (2012.01); H04L 9/06 (2006.01); G06Q 40/04 (2012.01);
U.S. Cl.
CPC ...
G05B 19/4155 (2013.01); B25J 9/161 (2013.01); B25J 9/163 (2013.01); B25J 9/1656 (2013.01); B25J 13/00 (2013.01); G05B 13/027 (2013.01); G05B 19/18 (2013.01); G06F 3/015 (2013.01); G06F 9/466 (2013.01); G06F 9/543 (2013.01); G06F 16/2379 (2019.01); G06F 16/27 (2019.01); G06K 9/6215 (2013.01); G06K 9/6218 (2013.01); G06K 9/6268 (2013.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/0639 (2013.01); G06Q 10/10 (2013.01); G06Q 20/405 (2013.01); G06Q 30/018 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0206 (2013.01); G06Q 30/0208 (2013.01); G06Q 30/0215 (2013.01); G06Q 30/0278 (2013.01); G06Q 40/025 (2013.01); G06Q 40/08 (2013.01); G06Q 50/01 (2013.01); G06Q 50/18 (2013.01); G06Q 50/188 (2013.01); G06Q 50/26 (2013.01); G16Y 10/50 (2020.01); G16Y 40/10 (2020.01); H04L 9/0637 (2013.01); G05B 2219/39292 (2013.01); G05B 2219/50391 (2013.01); G06Q 40/04 (2013.01); G06Q 2220/18 (2013.01);
Abstract

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Find Patent Forward Citations

Loading…