US 11,982,993 B2
AI solution selection for an automated robotic process
Charles Howard Cella, Pembroke, MA (US); Jenna Lynn Parenti, Boulder, CO (US); and Taylor D. Charon, Troy, MI (US)
Assigned to Strong Force TX Portfolio 2018, LLC, Fort Lauderdale, FL (US)
Filed by Strong Force TX Portfolio 2018, LLC, Fort Lauderdale, FL (US)
Filed on Mar. 24, 2022, as Appl. No. 17/703,191.
Application 17/703,191 is a division of application No. 17/333,452, filed on May 28, 2021, granted, now 11,586,178.
Application 17/333,452 is a continuation of application No. 17/332,700, filed on May 27, 2021, granted, now 11,550,299.
Application 17/332,700 is a continuation of application No. PCT/US2021/016473, filed on Feb. 3, 2021.
Application PCT/US2021/016473 is a continuation in part of application No. 16/780,519, filed on Feb. 3, 2020, granted, now 11,669,914.
Claims priority of provisional application 63/127,980, filed on Dec. 18, 2020.
Claims priority of provisional application 63/069,542, filed on Aug. 24, 2020.
Claims priority of provisional application 62/994,581, filed on Mar. 25, 2020.
Prior Publication US 2022/0291666 A1, Sep. 15, 2022
Int. Cl. G05B 19/41 (2006.01); B25J 9/16 (2006.01); B25J 13/00 (2006.01); G05B 13/02 (2006.01); G05B 19/18 (2006.01); G05B 19/4155 (2006.01); G06F 3/01 (2006.01); G06F 9/46 (2006.01); G06F 9/54 (2006.01); G06F 16/23 (2019.01); G06F 16/27 (2019.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 10/0639 (2023.01); G06Q 10/10 (2023.01); G06Q 20/40 (2012.01); G06Q 30/018 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0207 (2023.01); G06Q 30/0208 (2023.01); G06Q 40/03 (2023.01); G06Q 40/08 (2012.01); G06Q 50/00 (2012.01); G06Q 50/18 (2012.01); G06Q 50/26 (2012.01); G16Y 10/50 (2020.01); G16Y 40/10 (2020.01); H04L 9/06 (2006.01); G06Q 40/04 (2012.01)
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); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); 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 40/03 (2023.01); 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)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for selecting an artificial intelligence (AI) solution for an automated robotic process, the method comprising:
receiving at least one functional media, the at least one functional media comprising information indicative of brain activity by a human engaged in a task of interest, the brain activity by the human comprising a set of spatial-temporal neocortical activity patterns of the human;
analyzing the at least one functional media;
identifying, from analyzing the at least one functional media, an activity level in at least one brain region of the human, wherein the at least one brain region corresponds to an active region of a neocortex of the human;
identifying, based on the activity level in the at least one brain region of the human, at least one of a brain region parameter corresponding to the active region of the neocortex of the human, or an activity parameter corresponding to a type of activity in which the human is engaged in the task of interest, wherein the activity level represents a strength of the type of activity in which the human is engaged in the task of interest; and
selecting a component of the AI solution to facilitate at least a portion of the automated robotic process based on, at least in part, at least one of the brain region parameter, the activity parameter, or the activity level, wherein the selected component of the AI solution simulates a processing activity to replicate an activity of the at least one brain region of the human engaged in the task of interest,
wherein the selecting the component of the AI solution includes selecting at least one of a neural network type or a neural network arrangement of the AI solution.