General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0

Dariusz Marek; Piotr Biernacki; Jakub Szygula; Adam Domanski

doi:10.1109/BigData55660.2022.10020846

General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0

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

3 Citations (Scopus)

Abstract

This paper presents an environment simulator dedicated to assess the behavior of Automated Guided Vehicles in industry. The concept proposed in this framework makes it possible to evaluate the hazards that can occur in an industrial plant. Conducting all of the necessary research in a natural environment requires a great deal of time and is very expensive. A simulation environment reduces the costs and also reduces the burden of the verification process of an AGV operation. This study presents an assessment of simulation environments based on the most proven solutions. The analysis were conducted from the point of view of the requirements that have been set by industry. As a result, the authors built the evaluation environment that was based on the Gazebo simulator.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
Editors	Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6306-6314
Number of pages	9
ISBN (Electronic)	9781665480451
DOIs	https://doi.org/10.1109/BigData55660.2022.10020846
Publication status	Published - 2022
Event	2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan Duration: 17 Dec 2022 → 20 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference	2022 IEEE International Conference on Big Data, Big Data 2022
Country/Territory	Japan
City	Osaka
Period	17/12/22 → 20/12/22

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AGV
Gazebo
Industrial Environment
Industry 4.0
ROS
simulation environments

ASJC Scopus subject areas

Modeling and Simulation
Computer Networks and Communications
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/BigData55660.2022.10020846

Cite this

Marek, D., Biernacki, P., Szygula, J., & Domanski, A. (2022). General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. In S. Tsumoto, Y. Ohsawa, L. Chen, D. Van den Poel, X. Hu, Y. Motomura, T. Takagi, L. Wu, Y. Xie, A. Abe, & V. Raghavan (Eds.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 (pp. 6306-6314). (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData55660.2022.10020846

Marek, Dariusz ; Biernacki, Piotr ; Szygula, Jakub et al. / General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. editor / Shusaku Tsumoto ; Yukio Ohsawa ; Lei Chen ; Dirk Van den Poel ; Xiaohua Hu ; Yoichi Motomura ; Takuya Takagi ; Lingfei Wu ; Ying Xie ; Akihiro Abe ; Vijay Raghavan. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 6306-6314 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

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title = "General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0",

abstract = "This paper presents an environment simulator dedicated to assess the behavior of Automated Guided Vehicles in industry. The concept proposed in this framework makes it possible to evaluate the hazards that can occur in an industrial plant. Conducting all of the necessary research in a natural environment requires a great deal of time and is very expensive. A simulation environment reduces the costs and also reduces the burden of the verification process of an AGV operation. This study presents an assessment of simulation environments based on the most proven solutions. The analysis were conducted from the point of view of the requirements that have been set by industry. As a result, the authors built the evaluation environment that was based on the Gazebo simulator.",

keywords = "AGV, Gazebo, Industrial Environment, Industry 4.0, ROS, simulation environments",

author = "Dariusz Marek and Piotr Biernacki and Jakub Szygula and Adam Domanski",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",

year = "2022",

doi = "10.1109/BigData55660.2022.10020846",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6306--6314",

editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and \{Van den Poel\}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",

booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",

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Marek, D , Biernacki, P , Szygula, J & Domanski, A 2022, General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, Institute of Electrical and Electronics Engineers Inc., pp. 6306-6314, 2022 IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, 17/12/22. https://doi.org/10.1109/BigData55660.2022.10020846

General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. / Marek, Dariusz ; Biernacki, Piotr ; Szygula, Jakub et al.
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. ed. / Shusaku Tsumoto; Yukio Ohsawa; Lei Chen; Dirk Van den Poel; Xiaohua Hu; Yoichi Motomura; Takuya Takagi; Lingfei Wu; Ying Xie; Akihiro Abe; Vijay Raghavan. Institute of Electrical and Electronics Engineers Inc., 2022. p. 6306-6314 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

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

TY - GEN

T1 - General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0

AU - Marek, Dariusz

AU - Biernacki, Piotr

AU - Szygula, Jakub

AU - Domanski, Adam

PY - 2022

Y1 - 2022

N2 - This paper presents an environment simulator dedicated to assess the behavior of Automated Guided Vehicles in industry. The concept proposed in this framework makes it possible to evaluate the hazards that can occur in an industrial plant. Conducting all of the necessary research in a natural environment requires a great deal of time and is very expensive. A simulation environment reduces the costs and also reduces the burden of the verification process of an AGV operation. This study presents an assessment of simulation environments based on the most proven solutions. The analysis were conducted from the point of view of the requirements that have been set by industry. As a result, the authors built the evaluation environment that was based on the Gazebo simulator.

AB - This paper presents an environment simulator dedicated to assess the behavior of Automated Guided Vehicles in industry. The concept proposed in this framework makes it possible to evaluate the hazards that can occur in an industrial plant. Conducting all of the necessary research in a natural environment requires a great deal of time and is very expensive. A simulation environment reduces the costs and also reduces the burden of the verification process of an AGV operation. This study presents an assessment of simulation environments based on the most proven solutions. The analysis were conducted from the point of view of the requirements that have been set by industry. As a result, the authors built the evaluation environment that was based on the Gazebo simulator.

KW - AGV

KW - Gazebo

KW - Industrial Environment

KW - Industry 4.0

KW - ROS

KW - simulation environments

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U2 - 10.1109/BigData55660.2022.10020846

DO - 10.1109/BigData55660.2022.10020846

M3 - Conference contribution

AN - SCOPUS:85147950685

T3 - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

SP - 6306

EP - 6314

BT - Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

A2 - Tsumoto, Shusaku

A2 - Ohsawa, Yukio

A2 - Chen, Lei

A2 - Van den Poel, Dirk

A2 - Hu, Xiaohua

A2 - Motomura, Yoichi

A2 - Takagi, Takuya

A2 - Wu, Lingfei

A2 - Xie, Ying

A2 - Abe, Akihiro

A2 - Raghavan, Vijay

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Big Data, Big Data 2022

Y2 - 17 December 2022 through 20 December 2022

ER -

Marek D , Biernacki P , Szygula J , Domanski A. General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. In Tsumoto S, Ohsawa Y, Chen L, Van den Poel D, Hu X, Motomura Y, Takagi T, Wu L, Xie Y, Abe A, Raghavan V, editors, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 6306-6314. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022). doi: 10.1109/BigData55660.2022.10020846

General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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