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

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3 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
Redaktorzy	Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	6306-6314
Liczba stron	9
ISBN (elektroniczny)	9781665480451
Identyfikatory DOI	https://doi.org/10.1109/BigData55660.2022.10020846
Status publikacji	Opublikowano - 2022
Wydarzenie	2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japonia Czas trwania: 17 gru 2022 → 20 gru 2022

Seria publikacji

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

Konferencja

Konferencja	2022 IEEE International Conference on Big Data, Big Data 2022
Kraj/Terytorium	Japonia
Miejscowość	Osaka
Okres	17/12/22 → 20/12/22

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Modelowanie i symulacja
Sieci komputerowe i komunikacja
Systemy informacyjne
Systemy informacyjne i zarządzanie
Bezpieczeństwo, ryzyko, niezawodność i jakość
Sterowanie i optymalizacja

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10.1109/BigData55660.2022.10020846

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Marek, D., Biernacki, P., Szygula, J., & Domanski, A. (2022). General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. W S. Tsumoto, Y. Ohsawa, L. Chen, D. Van den Poel, X. Hu, Y. Motomura, T. Takagi, L. Wu, Y. Xie, A. Abe, & V. Raghavan (Red.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 (str. 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 i in. / 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. redaktor / 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. str. 6306-6314 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

@inproceedings{ce80f935a0f4418095d0fad702f0f145,

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",

address = "United States",

}

Marek, D , Biernacki, P , Szygula, J & Domanski, A 2022, General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. w S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (red), 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., str. 6306-6314, 2022 IEEE International Conference on Big Data, Big Data 2022, Osaka, Japonia, 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 i in.
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. red. / 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. str. 6306-6314 (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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

UR - https://www.scopus.com/pages/publications/85147950685

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. W Tsumoto S, Ohsawa Y, Chen L, Van den Poel D, Hu X, Motomura Y, Takagi T, Wu L, Xie Y, Abe A, Raghavan V, redaktorzy, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Institute of Electrical and Electronics Engineers Inc. 2022. str. 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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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