Algorithms and models of multirobot systems and their implementation in ROS

Abstract Conducting research in the Arctic takes place in extreme conditions. In these conditions, it’s effective to use multirobot systems that can function for days under any weather conditions. The article discusses the basic principles of multirobot control systems. Mathematical models for the f...

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Bibliographic Details
Published in:IOP Conference Series: Materials Science and Engineering
Main Authors: Shikhman, M V, Shidlovskiy, S V
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2019
Subjects:
Arctic
Online Access:http://dx.doi.org/10.1088/1757-899x/696/1/012015
https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015/pdf
https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015
id crioppubl:10.1088/1757-899x/696/1/012015
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spelling crioppubl:10.1088/1757-899x/696/1/012015 2024-06-02T08:01:33+00:00 Algorithms and models of multirobot systems and their implementation in ROS Shikhman, M V Shidlovskiy, S V 2019 http://dx.doi.org/10.1088/1757-899x/696/1/012015 https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015/pdf https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Materials Science and Engineering volume 696, issue 1, page 012015 ISSN 1757-8981 1757-899X journal-article 2019 crioppubl https://doi.org/10.1088/1757-899x/696/1/012015 2024-05-07T14:02:37Z Abstract Conducting research in the Arctic takes place in extreme conditions. In these conditions, it’s effective to use multirobot systems that can function for days under any weather conditions. The article discusses the basic principles of multirobot control systems. Mathematical models for the formation of control actions of multirobot are obtained. The basic methods for modeling multi-robot systems in ROS are described. Article in Journal/Newspaper Arctic IOP Publishing Arctic IOP Conference Series: Materials Science and Engineering 696 1 012015
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract Conducting research in the Arctic takes place in extreme conditions. In these conditions, it’s effective to use multirobot systems that can function for days under any weather conditions. The article discusses the basic principles of multirobot control systems. Mathematical models for the formation of control actions of multirobot are obtained. The basic methods for modeling multi-robot systems in ROS are described.
format Article in Journal/Newspaper
author Shikhman, M V
Shidlovskiy, S V
spellingShingle Shikhman, M V
Shidlovskiy, S V
Algorithms and models of multirobot systems and their implementation in ROS
author_facet Shikhman, M V
Shidlovskiy, S V
author_sort Shikhman, M V
title Algorithms and models of multirobot systems and their implementation in ROS
title_short Algorithms and models of multirobot systems and their implementation in ROS
title_full Algorithms and models of multirobot systems and their implementation in ROS
title_fullStr Algorithms and models of multirobot systems and their implementation in ROS
title_full_unstemmed Algorithms and models of multirobot systems and their implementation in ROS
title_sort algorithms and models of multirobot systems and their implementation in ros
publisher IOP Publishing
publishDate 2019
url http://dx.doi.org/10.1088/1757-899x/696/1/012015
https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015/pdf
https://iopscience.iop.org/article/10.1088/1757-899X/696/1/012015
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source IOP Conference Series: Materials Science and Engineering
volume 696, issue 1, page 012015
ISSN 1757-8981 1757-899X
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1757-899x/696/1/012015
container_title IOP Conference Series: Materials Science and Engineering
container_volume 696
container_issue 1
container_start_page 012015
_version_ 1800745941675802624

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