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Reconfigurable table pipeline for robotic process automation workflow

A process automation and reconfiguration technology, applied in office automation, machine learning, instruments, etc.

Pending Publication Date: 2022-05-27
UIPATH INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this static pipeline may not be optimal for all situations, especially those that vary over time or are specific to a user

Method used

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  • Reconfigurable table pipeline for robotic process automation workflow
  • Reconfigurable table pipeline for robotic process automation workflow
  • Reconfigurable table pipeline for robotic process automation workflow

Examples

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Embodiment Construction

[0017] Some embodiments relate to reconfigurable workbench pipelines for RPA workflows. In some embodiments, a reconfigurable workbench pipeline may apply a machine learning (ML) model that attempts to repair or improve the operation of the pipeline. In some embodiments, this may be a rule-based operation rather than an ML model. In some embodiments, the system may have controls that can suggest models and / or transformation components to meet a given use case.

[0018] For example, consider the case of receiving emails that may have various attachments (eg, invoices, purchase orders, etc.). It may be desirable to have components in the pipeline that operate as gated functions to identify and tag invoices in emails before sending the tagged invoices to the ML model for invoice processing. However, pipelines may not behave correctly in all cases. When running an invoice through the pipeline, the system can thus observe whether there is an output at the end of the pipeline. W...

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Abstract

A reconfigurable table pipeline for robotic process automation (RPA) workflow. And different workbench assembly lines can be constructed for different users. For example, an initial global workflow (e.g., a receipt extractor) may be constructed and used, but the workflow may not work in an optimal manner or at all for a certain user or a certain task. A machine learning ML model (potentially with human being in loopback) may be employed to specialize a global workflow for a given task.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS [0002] This application claims the benefit of US Non-Provisional Patent Application No. 16 / 707,977, filed on December 9, 2019, and US Provisional Patent Application No. 62 / 915,413, 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 reconfigurable workbench pipelines for RPA workflows. Background technique [0004] Current RPA workflows are deterministic in nature and include a pipeline of static activities. In other words, a single logical flow is created and applied by the bot(s) as the bot executes the workflow. A "pipeline" refers to a series of steps to extract data and / or certain actions to be taken based on the extracted data. However, such static pipelines may not be optimal for all situations, especially t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/10G06N20/00
CPCG06Q10/04G06Q10/06311G06Q10/06315G06Q10/06316G06Q10/0633G06Q10/103G06N20/00G06Q10/10G06Q10/107G06Q30/04G06N5/045G06F8/71G06F8/65G06F8/4452G06F8/34G06F8/38G06F8/60
Inventor P·辛格T·曾A·卡布兹
Owner UIPATH INC