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Scrutable Robot Actions Using a Hierarchical Ontological Model

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Graph-Based Representation and Reasoning (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13403))

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Abstract

We place ourselves in the context of representing knowledge inside the cognitive model of a robot that needs to reason about its actions. We propose a new ontological transformation system able to model different levels of knowledge granularity. This model will allow to unfold the sequences of actions the robot performs for better scrutability.

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Author information

Authors and Affiliations

  1. LIRMM, Inria, Univ Montpellier, CNRS, Montpellier, France

    Martin Jedwabny, Pierre Bisquert & Madalina Croitoru

  2. IATE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France

    Pierre Bisquert

Authors
  1. Martin Jedwabny
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  2. Pierre Bisquert
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  3. Madalina Croitoru
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Corresponding author

Correspondence to Martin Jedwabny .

Editor information

Editors and Affiliations

  1. University of Münster, Münster, Germany

    Tanya Braun

  2. Babes-Bolyai University, Cluj-Napoca, Romania

    Diana Cristea

  3. Humboldt-Universität zu Berlin, Berlin, Germany

    Robert Jäschke

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Jedwabny, M., Bisquert, P., Croitoru, M. (2022). Scrutable Robot Actions Using a Hierarchical Ontological Model. In: Braun, T., Cristea, D., Jäschke, R. (eds) Graph-Based Representation and Reasoning. ICCS 2022. Lecture Notes in Computer Science(), vol 13403. Springer, Cham. https://doi.org/10.1007/978-3-031-16663-1_2

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  • DOI: https://doi.org/10.1007/978-3-031-16663-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16662-4

  • Online ISBN: 978-3-031-16663-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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