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Research Challenges for Intelligent Robotic Process Automation

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Business Process Management Workshops (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 362))

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Abstract

Robotic Process Automation (RPA) is a fast-emerging automation technology in the field of Artificial Intelligence that allows organizations to automate high volume routines. RPA tools are able to capture the execution of such routines previously performed by a human user on the interface of a computer system, and then emulate their enactment in place of the user. In this paper, after an in-depth experimentation of the RPA tools available in the market, we developed a classification framework to categorize them on the basis of some key dimensions. Then, starting from this analysis, we derived four research challenges necessary to inject intelligence into current RPA technology.

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Notes

  1. 1.

    https://www.gartner.com/en/documents/3883863-hype-cycle-for-artificial-intelligence-2018.

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Acknowledgments

This research work has been partly supported by the “Dipartimento di Eccellenza” grant, the H2020 RISE project FIRST (grant #734599), the Sapienza grants IT-SHIRT, ROCKET and METRICS, the Lazio regional initiative “Centro di eccellenza DTC Lazio” and the project ARCA.

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Authors and Affiliations

  1. Sapienza Universitá di Roma, Rome, Italy

    Simone Agostinelli, Andrea Marrella & Massimo Mecella

Authors
  1. Simone Agostinelli
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  2. Andrea Marrella
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  3. Massimo Mecella
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Corresponding author

Correspondence to Andrea Marrella .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Chiara Di Francescomarino

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. University of Vienna, Vienna, Austria

    Uwe Zdun

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Agostinelli, S., Marrella, A., Mecella, M. (2019). Research Challenges for Intelligent Robotic Process Automation. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-37453-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37452-5

  • Online ISBN: 978-3-030-37453-2

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