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

Rafal Cupek; Marcin Fojcik; Piotr Gaj; Jacek Stój

doi:10.1007/978-3-030-88113-9_39

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

Rafal Cupek
, Marcin Fojcik
, Piotr Gaj
, Jacek Stój

Department of Distributed Systems and Informatic Devices (RAU/RAU8)

Western Norway University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings
Editors	Krystian Wojtkiewicz, Jan Treur, Elias Pimenidis, Marcin Maleszka
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	485-497
Number of pages	13
ISBN (Print)	9783030881122
DOIs	https://doi.org/10.1007/978-3-030-88113-9_39
Publication status	Published - 2021
Event	13th International Conference on Computational Collective Intelligence, ICCCI 2021 - Virtual, Online Duration: 29 Sept 2021 → 1 Oct 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1463
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	13th International Conference on Computational Collective Intelligence, ICCCI 2021
City	Virtual, Online
Period	29/09/21 → 1/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AGV
Automated Guided Vehicles
Communication middleware
Machine-to-Machine (M2M) communication

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-88113-9_39

Cite this

Cupek, R., Fojcik, M., Gaj, P., & Stój, J. (2021). Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. In K. Wojtkiewicz, J. Treur, E. Pimenidis, & M. Maleszka (Eds.), Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings (pp. 485-497). (Communications in Computer and Information Science; Vol. 1463). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-88113-9_39

Cupek, Rafal ; Fojcik, Marcin ; Gaj, Piotr et al. / Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. editor / Krystian Wojtkiewicz ; Jan Treur ; Elias Pimenidis ; Marcin Maleszka. Springer Science and Business Media Deutschland GmbH, 2021. pp. 485-497 (Communications in Computer and Information Science).

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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.",

keywords = "AGV, Automated Guided Vehicles, Communication middleware, Machine-to-Machine (M2M) communication",

author = "Rafal Cupek and Marcin Fojcik and Piotr Gaj and Jacek St{\'o}j",

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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 K Wojtkiewicz, J Treur, E Pimenidis & M Maleszka (eds), Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. Communications in Computer and Information Science, vol. 1463, Springer Science and Business Media Deutschland GmbH, pp. 485-497, 13th International Conference on Computational Collective Intelligence, ICCCI 2021, Virtual, Online, 29/09/21. https://doi.org/10.1007/978-3-030-88113-9_39

Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. / Cupek, Rafal; Fojcik, Marcin; Gaj, Piotr et al.
Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. ed. / Krystian Wojtkiewicz; Jan Treur; Elias Pimenidis; Marcin Maleszka. Springer Science and Business Media Deutschland GmbH, 2021. p. 485-497 (Communications in Computer and Information Science; Vol. 1463).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0

AU - Cupek, Rafal

AU - Fojcik, Marcin

AU - Gaj, Piotr

AU - Stój, Jacek

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - AGV

KW - Automated Guided Vehicles

KW - Communication middleware

KW - Machine-to-Machine (M2M) communication

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BT - Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings

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A2 - Treur, Jan

A2 - Pimenidis, Elias

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 13th International Conference on Computational Collective Intelligence, ICCCI 2021

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ER -

Cupek R, Fojcik M, Gaj P , Stój J. Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. In Wojtkiewicz K, Treur J, Pimenidis E, Maleszka M, editors, Advances in Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 485-497. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-88113-9_39

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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