A model-driving approach to constructing robotic systems

Autores
Pérez, Claudia; Giandini, Roxana Silvia; Pons, Claudia Fabiana; Baum, Gabriel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión enviada
Descripción
Most robotic systems tend to be complex to maintain and reuse because existing frameworks are based mainly on code-driven approaches. This means the software development process is reduced to the implementation of systems using specific programming languages. During the constant evolution, the systems grow in size and in complexity. Even when these approaches address the needs of robotic focused markets, currently used methodologies and toolsets fail to cope with the needs of such complex software development process. The general objective of our work is the definition of a methodological framework supported by a set of tools to deal with the requirements of the robotic software development process. A major challenge is to make the step from code-driven to model-driven in the development of robotic software systems. Separating robotics knowledge from short-cycled implementation technologies is essential to foster reuse and maintenance.
Materia
Ciencias de la Computación e Información
robotic software system
software development process
software engineering
model driven development
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/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:11746/3519
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/3519
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling A model-driving approach to constructing robotic systemsPérez, ClaudiaGiandini, Roxana SilviaPons, Claudia FabianaBaum, GabrielCiencias de la Computación e Informaciónrobotic software systemsoftware development processsoftware engineeringmodel driven developmentMost robotic systems tend to be complex to maintain and reuse because existing frameworks are based mainly on code-driven approaches. This means the software development process is reduced to the implementation of systems using specific programming languages. During the constant evolution, the systems grow in size and in complexity. Even when these approaches address the needs of robotic focused markets, currently used methodologies and toolsets fail to cope with the needs of such complex software development process. The general objective of our work is the definition of a methodological framework supported by a set of tools to deal with the requirements of the robotic software development process. A major challenge is to make the step from code-driven to model-driven in the development of robotic software systems. Separating robotics knowledge from short-cycled implementation technologies is essential to foster reuse and maintenance.2014-04-01info: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/11746/3519enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:43:46Zoai:digital.cic.gba.gob.ar:11746/3519Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:43:46.635CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv A model-driving approach to constructing robotic systems
title A model-driving approach to constructing robotic systems
spellingShingle A model-driving approach to constructing robotic systems
Pérez, Claudia
Ciencias de la Computación e Información
robotic software system
software development process
software engineering
model driven development
title_short A model-driving approach to constructing robotic systems
title_full A model-driving approach to constructing robotic systems
title_fullStr A model-driving approach to constructing robotic systems
title_full_unstemmed A model-driving approach to constructing robotic systems
title_sort A model-driving approach to constructing robotic systems
dc.creator.none.fl_str_mv Pérez, Claudia
Giandini, Roxana Silvia
Pons, Claudia Fabiana
Baum, Gabriel
author Pérez, Claudia
author_facet Pérez, Claudia
Giandini, Roxana Silvia
Pons, Claudia Fabiana
Baum, Gabriel
author_role author
author2 Giandini, Roxana Silvia
Pons, Claudia Fabiana
Baum, Gabriel
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
robotic software system
software development process
software engineering
model driven development
topic Ciencias de la Computación e Información
robotic software system
software development process
software engineering
model driven development
dc.description.none.fl_txt_mv Most robotic systems tend to be complex to maintain and reuse because existing frameworks are based mainly on code-driven approaches. This means the software development process is reduced to the implementation of systems using specific programming languages. During the constant evolution, the systems grow in size and in complexity. Even when these approaches address the needs of robotic focused markets, currently used methodologies and toolsets fail to cope with the needs of such complex software development process. The general objective of our work is the definition of a methodological framework supported by a set of tools to deal with the requirements of the robotic software development process. A major challenge is to make the step from code-driven to model-driven in the development of robotic software systems. Separating robotics knowledge from short-cycled implementation technologies is essential to foster reuse and maintenance.
description Most robotic systems tend to be complex to maintain and reuse because existing frameworks are based mainly on code-driven approaches. This means the software development process is reduced to the implementation of systems using specific programming languages. During the constant evolution, the systems grow in size and in complexity. Even when these approaches address the needs of robotic focused markets, currently used methodologies and toolsets fail to cope with the needs of such complex software development process. The general objective of our work is the definition of a methodological framework supported by a set of tools to deal with the requirements of the robotic software development process. A major challenge is to make the step from code-driven to model-driven in the development of robotic software systems. Separating robotics knowledge from short-cycled implementation technologies is essential to foster reuse and maintenance.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-01
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/11746/3519
url https://digital.cic.gba.gob.ar/handle/11746/3519
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/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 12.623145

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