Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Insertion of probabilistic models and supervisory systems in deterministic workflows for robotic process automation

A technology of robotics and workflow, applied in probabilistic networks, computational models, machine learning, etc., and can solve problems such as not dynamic

Pending Publication Date: 2022-06-03
UIPATH INC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such workflows are based on set logic and are not dynamic

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Insertion of probabilistic models and supervisory systems in deterministic workflows for robotic process automation
  • Insertion of probabilistic models and supervisory systems in deterministic workflows for robotic process automation
  • Insertion of probabilistic models and supervisory systems in deterministic workflows for robotic process automation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Some embodiments relate to the use of probabilistic models in the deterministic workflow of RPA. For example, such an embodiment may make initial deployment faster. Machine learning introduces a probabilistic framework in which the outcome is uncertain, and therefore the steps are also uncertain. Deterministic workflows can be mixed with probabilistic workflows, or probabilistic activities can be inserted into deterministic workflows to create more dynamic workflows. RPA workflows usually take the form of logical flows, which are highly deterministic and contain a fixed number of activities. However, in some embodiments, probabilistic activities may be inserted into the workflow at the location of one or more deterministic activities. To interpolate a probabilistic activity, certain factors can be considered, such as the confidence level of the probabilistic activity. Probabilistic activities can be used in workflows instead of deterministic activities if the machine...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Probabilistic models may be used in deterministic workflows for robotic process automation (RPA). Machine learning (ML) introduces a probabilistic framework, where the result is uncertain, and thus the steps are also uncertain. Deterministic workflows may be mixed with probabilistic workflows, or probabilistic activities may be inserted into the deterministic workflows in order to create more dynamic workflows. When an error is detected by the data drift detector, the concept drift detector, or both, the supervisory system may be used to monitor the ML model and issue an alarm, disable the RPA robot, bypass the RPA robot, or roll back to a previous version of the ML model.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS [0002] This application claims the benefit of US Non-Provisional Patent Application No. 16 / 708,083, filed on December 9, 2019, and US Provisional Patent Application No. 62 / 915,434, filed on October 15, 2019. The subject matter of these earlier filed applications is incorporated herein by reference in their entirety. technical field [0003] The present invention relates generally to robotic process automation (RPA), and more particularly to inserting probabilistic models and governance systems in deterministic workflows for RPA. Background technique [0004] Current RPA systems work in a logical fashion with decision points in sequential workflows. However, such workflows are based on set logic and are not dynamic. Therefore, improved methods may be beneficial. SUMMARY OF THE INVENTION [0005] Certain embodiments of the present invention may provide solutions to problems and needs in the prior art that are not fully ide...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F11/16G06F11/07G06F11/30G06N20/00G06N7/00
CPCG06F11/16G06F11/0751G06F11/0769G06F11/0793G06F11/302G06N20/00G06N7/01G06F11/0754G06F11/327G06F17/18
Inventor P·辛格A·麦戈尼尔
Owner UIPATH INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com