Automated robotic process selection and configuration
AssigneeStrong Force TX Portfolio 2018, LLC
InventorsCharles Howard Cella, Jenna Lynn Parenti, Taylor D. Charon
Life of this patent
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Abstract
A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.
Claims17
A system for selection and configuration of an automated robotic process, the system comprising:
- a processor;
- a media input module operably coupled to the processor and structured to receive at least one functional media, the at least one functional media comprising a media indicative of brain activity in a human engaged in a task of interest, the brain activity comprising:
- a set of spatial-temporal neocortical activity patterns of the human;
- and
- information of an active area of a neocortex of the human;
- a media analysis module structured to:
- analyze the at least one functional media;
- identify an action parameter of the human, based on the brain activity from the analyzed at least one functional media;
- and
- identify an activity level in at least one brain region of the human from the analyzed at least one functional media;
- and
- provide a brain region parameter of the human from the analyzed at least one functional media, corresponding with the activity level in the at least one brain region, corresponding to a region of the neocortex comprising one or more of frontal, parietal, occipital, or temporal lobes of the neocortex;
- a primary visual cortex;
- a primary auditory cortex;
- subdivisions of the neocortex;
- a ventrolateral prefrontal cortex;
- a Broca's area;
- or an orbitofrontal cortex;
- and
- a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process,
- wherein the selection is based, at least in part, on the identified action parameter to simulate the action parameter of the human,
- wherein the at least one selected component of the AI solution simulates a processing activity similar to the activity of the brain region of the human indicated by the brain region parameter, and
- wherein the at least one component of the AI solution corresponds to the set of spatial-temporal neocortical activity patterns of the human.
Dependencies are inferred from the claim text.