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Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0

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Advances in Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1463))

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Abstract

Autonomous Guided Vehicles (AGV) are an enabling technology that has changed the landscape for the new generation of manufacturing systems. Because AGV must interact with a heterogenous production environment, communication between an AGV and other devices must be established dynamically. This includes the production stands, production systems, manufacturing infrastructure, and cooperation with other AGVs. The focus of this paper is the ontological approach that enables dynamic communications with an AGV that must be adapted to changing operating conditions. The aim of this work is to review the existing approaches using ontologies for industrial communication, to evoke a discussion, and to elucidate the current research opportunities by highlighting the relationship between different subareas of communication with an AGV.

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Notes

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    https://www.drupal.org/project/neologism.

  2. 2.

    http://neon-toolkit.org/.

  3. 3.

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Acknowledgements

The research that led to these results received funding from the Norway Grants 2014–2021 operated by the National Centre for Research and Development under the project “Automated Guided Vehicles integrated with Collaborative Robots for Smart Industry Perspective” (Project Contract no.: NOR/POLNOR/CoBotAGV/0027/2019 -00).

Author information

Authors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Rafal Cupek, Piotr Gaj & Jacek Stój

  2. Western Norway University of Applied Sciences, Bergen, Norway

    Marcin Fojcik

Authors
  1. Rafal Cupek
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  2. Marcin Fojcik
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  3. Piotr Gaj
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  4. Jacek Stój
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Corresponding author

Correspondence to Rafal Cupek .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  2. VU Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  3. University of the West of England, Bristol, UK

    Elias Pimenidis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

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Cupek, R., Fojcik, M., Gaj, P., Stój, J. (2021). Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. In: Wojtkiewicz, K., Treur, J., Pimenidis, E., Maleszka, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_39

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  • DOI: https://doi.org/10.1007/978-3-030-88113-9_39

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