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dc.contributor.authorGil, Eric Bernd-
dc.contributor.authorRodrigues, Genaína Nunes-
dc.contributor.authorPelliccione, Patrizio-
dc.contributor.authorCalinescu, Radu-
dc.date.accessioned2024-11-13T17:33:46Z-
dc.date.available2024-11-13T17:33:46Z-
dc.date.issued2023-02-28-
dc.identifier.citationGIL, Eric Bernd et al. Mission specification and decomposition for multi-robot systems. Robotics and Autonomous Systems, [S.l.], v. 163, 2023. DOI: https://doi.org/10.1016/j.robot.2023.104386. Disponível em: https://www.sciencedirect.com/science/article/pii/S0921889023000258?via%3Dihub. Acesso em: 13 nov. 2024.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/50893-
dc.language.isoengpt_BR
dc.publisherElsevier B.V.pt_BR
dc.rightsAcesso Abertopt_BR
dc.titleMission specification and decomposition for multi-robot systemspt_BR
dc.typeArtigopt_BR
dc.subject.keywordSistemas Multi-Robôpt_BR
dc.subject.keywordAutomação de processopt_BR
dc.subject.keywordAlocação de tarefas (Computação)pt_BR
dc.subject.keywordDecomposição de missão (Computação)pt_BR
dc.subject.keywordRobôs - programaçãopt_BR
dc.rights.licenseThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.robot.2023.104386pt_BR
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0921889023000258?via%3Dihubpt_BR
dc.description.abstract1Service robots are increasingly being used to perform missions comprising dangerous or tedious tasks previously executed by humans. However, their users—who know the environment and requirements for these missions—have limited or no robotics experience. As such, they often find the process of allocating concrete tasks to each robot within a multi-robot system (MRS) very challenging. Our paper introduces a framework for Multi-Robot mission Specification and decomposition (MutRoSe) that simplifies and automates key activities of this process. To that end, MutRoSe allows an MRS mission designer to define all relevant aspects of a mission and its environment in a high-level specification language that accounts for the variability of real-world scenarios, the dependencies between task instances, and the reusability of task libraries. Additionally, MutRoSe automates the decomposition of MRS missions defined in this language into task instances, which can then be allocated to specific robots for execution—with all task dependencies appropriately taken into account. We illustrate the application of MutRoSe and show its effectiveness for four missions taken from a recently published repository of MRS applications.pt_BR
dc.contributor.affiliationUniversidade de Brasilia, Instituto de Ciências Exatas, Departamento de Ciência da Computaçãopt_BR
dc.contributor.affiliationUniversidade de Brasilia, Instituto de Ciências Exatas, Departamento de Ciência da Computaçãopt_BR
dc.contributor.affiliationGran Sasso Science Institutept_BR
dc.contributor.affiliationUniversity of York, Department of Computer Sciencept_BR
dc.description.unidadeInstituto de Ciências Exatas (IE)pt_BR
dc.description.unidadeDepartamento de Ciência da Computação (IE CIC)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Informáticapt_BR
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