Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories

Autores
Saavedra Sueldo, Carolina; Villar, Sebastián; De Paula, Mariano; Acosta, Gerardo G.
Año de publicación
2021
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión enviada
Descripción
Digital twins employs simulation in conjunction withvirtual environments and a variety of data coming from differentplant equipment and physical systems to continuously updatethe digital models of the world in a feedback loop schemeto facilitate the decision-making processes. The heterogeneityof existing hardware and software requires the developmentof software architectures able to deal with the informationexchange due to the integration and interaction of several systemcomponents and autonomous decision-making systems. In thiswork we propose the design and construction of a softwarearchitecture that integrates a manufacturing process simulatorwith the well-known robot operating system (ROS-RobotOperating System) to easily interchange information with anautonomous decision-making system. The proposal is tested withthe simulator Tecnomatix®and the freedistribution ROS Melodic.We present an instance of software architecture for a typicalcomplex case study of manufacturing plants and demonstrateits easy integration with an autonomous decision-making systembased on the reinforcement- learning paradigm.
Materia
Ingenierías y Tecnologías
Digital Twin
Autonomous Decision System
Integration
Industry 4.0
ROS
Tecnomatix
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10971
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/10971
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart FactoriesSaavedra Sueldo, CarolinaVillar, SebastiánDe Paula, MarianoAcosta, Gerardo G.Ingenierías y TecnologíasDigital TwinAutonomous Decision SystemIntegrationIndustry 4.0ROSTecnomatixDigital twins employs simulation in conjunction withvirtual environments and a variety of data coming from differentplant equipment and physical systems to continuously updatethe digital models of the world in a feedback loop schemeto facilitate the decision-making processes. The heterogeneityof existing hardware and software requires the developmentof software architectures able to deal with the informationexchange due to the integration and interaction of several systemcomponents and autonomous decision-making systems. In thiswork we propose the design and construction of a softwarearchitecture that integrates a manufacturing process simulatorwith the well-known robot operating system (ROS-RobotOperating System) to easily interchange information with anautonomous decision-making system. The proposal is tested withthe simulator Tecnomatix®and the freedistribution ROS Melodic.We present an instance of software architecture for a typicalcomplex case study of manufacturing plants and demonstrateits easy integration with an autonomous decision-making systembased on the reinforcement- learning paradigm.2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10971spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:16Zoai:digital.cic.gba.gob.ar:11746/10971Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:16.929CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
title Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
spellingShingle Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
Saavedra Sueldo, Carolina
Ingenierías y Tecnologías
Digital Twin
Autonomous Decision System
Integration
Industry 4.0
ROS
Tecnomatix
title_short Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
title_full Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
title_fullStr Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
title_full_unstemmed Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
title_sort Integration of ROS and Tecnomatix for the Development of Digital Twins Based Decision-Making Systems for Smart Factories
dc.creator.none.fl_str_mv Saavedra Sueldo, Carolina
Villar, Sebastián
De Paula, Mariano
Acosta, Gerardo G.
author Saavedra Sueldo, Carolina
author_facet Saavedra Sueldo, Carolina
Villar, Sebastián
De Paula, Mariano
Acosta, Gerardo G.
author_role author
author2 Villar, Sebastián
De Paula, Mariano
Acosta, Gerardo G.
author2_role author
author
author
dc.subject.none.fl_str_mv Ingenierías y Tecnologías
Digital Twin
Autonomous Decision System
Integration
Industry 4.0
ROS
Tecnomatix
topic Ingenierías y Tecnologías
Digital Twin
Autonomous Decision System
Integration
Industry 4.0
ROS
Tecnomatix
dc.description.none.fl_txt_mv Digital twins employs simulation in conjunction withvirtual environments and a variety of data coming from differentplant equipment and physical systems to continuously updatethe digital models of the world in a feedback loop schemeto facilitate the decision-making processes. The heterogeneityof existing hardware and software requires the developmentof software architectures able to deal with the informationexchange due to the integration and interaction of several systemcomponents and autonomous decision-making systems. In thiswork we propose the design and construction of a softwarearchitecture that integrates a manufacturing process simulatorwith the well-known robot operating system (ROS-RobotOperating System) to easily interchange information with anautonomous decision-making system. The proposal is tested withthe simulator Tecnomatix®and the freedistribution ROS Melodic.We present an instance of software architecture for a typicalcomplex case study of manufacturing plants and demonstrateits easy integration with an autonomous decision-making systembased on the reinforcement- learning paradigm.
description Digital twins employs simulation in conjunction withvirtual environments and a variety of data coming from differentplant equipment and physical systems to continuously updatethe digital models of the world in a feedback loop schemeto facilitate the decision-making processes. The heterogeneityof existing hardware and software requires the developmentof software architectures able to deal with the informationexchange due to the integration and interaction of several systemcomponents and autonomous decision-making systems. In thiswork we propose the design and construction of a softwarearchitecture that integrates a manufacturing process simulatorwith the well-known robot operating system (ROS-RobotOperating System) to easily interchange information with anautonomous decision-making system. The proposal is tested withthe simulator Tecnomatix®and the freedistribution ROS Melodic.We present an instance of software architecture for a typicalcomplex case study of manufacturing plants and demonstrateits easy integration with an autonomous decision-making systembased on the reinforcement- learning paradigm.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10971
url https://digital.cic.gba.gob.ar/handle/11746/10971
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 13.070432

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