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US Patent 10365799 System and methods for creating on-demand robotic process automation

Patent 10365799 was granted and assigned to Wipro (company) on July, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Wipro (company)
Wipro (company)
Current Assignee
Wipro (company)
Wipro (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10365799
Date of Patent
July 30, 2019
Patent Application Number
15078634
Date Filed
March 23, 2016
Patent Citations Received
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US Patent 11934416 Task and process mining by robotic process automations across a computing environment
0
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US Patent 11488015 Artificial intelligence layer-based process extraction for robotic process automation
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US Patent 11507772 Sequence extraction using screenshot images
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US Patent 11836626 Artificial intelligence layer-based process extraction for robotic process automation
0
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US Patent 11440201 Artificial intelligence-based process identification, extraction, and automation for robotic process automation
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US Patent 11461164 Screen response validation of robot execution for robotic process automation
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US Patent 11541548 Artificial intelligence-based process identification, extraction, and automation for robotic process automation
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US Patent 11594007 Text detection, caret tracking, and active element detection
...
Patent Primary Examiner
‌
Jennifer N To
Patent abstract

System and methods for creating on-demand robotic process automation are described. In one example hardware processor-implemented method embodiment, an application providing graphical user interfaces is executed, and a monitoring program executing independently of the application. Using the monitoring program, a screen capture image is obtained of the graphical user interfaces. Graphical user interface elements are identified using a computerized image processing technique. Metadata on presence of confirmatory predictors for the elements, and confirmatory predictor vectors for the interfaces, are generated. Confusion indices for the confirmatory predictors and the confirmatory predictor vectors are calculated, Threshold values are generated based on the calculated confusion indices. A decision table is generated storing sequences of user interactions with the graphical user interface elements. A subset of the stored sequences is identified as yielding a successful outcome. A process automation model is generated and validated based on the identified subset, using the threshold values.

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