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Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task

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Artificial Intelligence Applications and Innovations (AIAI 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 627))

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Abstract

Real-word intelligent agents must be able to detect sudden and unexpected changes to their task environment and effectively respond to those changes in order to function properly in the long term. We thus isolate a set of perturbations that agents ought to address and demonstrate how task-agnostic perturbation detection and mitigation mechanisms can be integrated into a cognitive robotic architecture. We present results from experimental evaluations of perturbation mitigation strategies in a multi-robot system that show how intelligent systems can achieve higher levels of autonomy by explicitly handling perturbations.

This work was in part supported by ONR grant #N00014-18-1-2831.

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Notes

  1. 1.

    A detailed conceptual and empirical comparison of robotic infrastructures up to 2006 can be found in [16].

  2. 2.

    Agents avoid occupying the same area of the space station.

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Authors and Affiliations

  1. Tufts University, Medford, MA, 02155, USA

    James Staley & Matthias Scheutz

Authors
  1. James Staley
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  2. Matthias Scheutz
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Correspondence to Matthias Scheutz .

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Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. University of Sunderland, Sunderland, UK

    John Macintyre

  3. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

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Staley, J., Scheutz, M. (2021). Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-79150-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-79150-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79149-0

  • Online ISBN: 978-3-030-79150-6

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