论文标题

迈向bpmers的智能机器人过程自动化

Towards Intelligent Robotic Process Automation for BPMers

论文作者

Agostinelli, Simone, Marrella, Andrea, Mecella, Massimo

论文摘要

机器人过程自动化(RPA)是一种快速出现的自动化技术,位于业务流程管理(BPM)和人工智能(AI)之间,允许组织自动化大量常规。 RPA工具能够捕获人用户在计算机系统界面上执行的此类例程的执行,然后通过软件机器人模仿用户的颁布。如今,在BPM域中,在没有解释空间的情况下,RPA工具可以自动化涉及常规工作的简单,可预测的业务流程,而更复杂的工作仍留给人类专家。在本文中,从对市场上可用的RPA工具进行深入实验,我们提供了一个分类框架,以根据某些关键维度对它们进行分类。然后,基于此分析,我们提出了四个研究挑战,并讨论了将智能注入当前RPA技术所需的前瞻性方法,以便在BPM域中更广泛地采用RPA。

Robotic Process Automation (RPA) is a fast-emerging automation technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI), and allows organizations to automate high volume routines. RPA tools are able to capture the execution of such routines previously performed by a human users on the interface of a computer system, and then emulate their enactment in place of the user by means of a software robot. Nowadays, in the BPM domain, only simple, predictable business processes involving routine work can be automated by RPA tools in situations where there is no room for interpretation, while more sophisticated work is still left to human experts. In this paper, starting from an in-depth experimentation of the RPA tools available on the market, we provide a classification framework to categorize them on the basis of some key dimensions. Then, based on this analysis, we derive four research challenges and discuss prospective approaches necessary to inject intelligence into current RPA technology, in order to achieve more widespread adoption of RPA in the BPM domain.

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