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Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions

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AIxIA 2020 – Advances in Artificial Intelligence (AIxIA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12414))

Abstract

This paper introduces a novel form of cooperation between the humans and user-supervised robots that we name shared intelligence. The fundamental principle at the base of shared intelligence is that the user’s commands are equally processed with the robot’s perception in order to create a successful interaction. We investigate a first shared intelligence system to mentally teleoperate a mobile robot via brain-machine interface. The preliminary results promote the introduction of shared intelligence to augment the human-robot interaction without pre-fixing specific constraints (environment-dependent) thanks to the coupling between the human and the robot.

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Acknowledgments

This research was partially supported by Fondazione Ing. Aldo Gini, by MIUR (Italian Minister for Education) under the initiative “Departments of Excellence” (Law 232/2016) and by SI Robotics project (Invecchiamento sano e attivo attraverso SocIal ROBOTICS).

Author information

Authors and Affiliations

  1. Department of Information Engineering, University of Padova, Padua, Italy

    Gloria Beraldo, Luca Tonin & Emanuele Menegatti

  2. Institute of Cognitive Sciences and Technologies (ISTC), National Research Council, ISTC-CNR, Rome, Italy

    Gloria Beraldo

Authors
  1. Gloria Beraldo
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  2. Luca Tonin
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  3. Emanuele Menegatti
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Corresponding author

Correspondence to Gloria Beraldo .

Editor information

Editors and Affiliations

  1. Università degli Studi di Torino, Turin, Italy

    Matteo Baldoni

  2. Department of Informatics, Systems and C, University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

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Beraldo, G., Tonin, L., Menegatti, E. (2021). Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions. In: Baldoni, M., Bandini, S. (eds) AIxIA 2020 – Advances in Artificial Intelligence. AIxIA 2020. Lecture Notes in Computer Science(), vol 12414. Springer, Cham. https://doi.org/10.1007/978-3-030-77091-4_27

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  • DOI: https://doi.org/10.1007/978-3-030-77091-4_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77090-7

  • Online ISBN: 978-3-030-77091-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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