Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories

Detalhes bibliográficos
Autor(a) principal: Kalempa, Vivian Cremer
Data de Publicação: 2023
Outros Autores: Piardi, Luis, Limeira, Marcelo A., Oliveira, Andre Schneider
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/29001
Resumo: In smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based faultresilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault resilience is achieved using the collective behavior of a multi-robot system that applies ternary decisions based on these plans. The difference between this paper and our previous work is on the consensual level. As it is suitable for the analysis and design of coordinated behavior between autonomous robots, the consensus plan is restructured and enhanced. The proposed approach is tested and evaluated in a virtual warehouse based on a real environment. In addition, it is compared with other current approaches, and the results are presented, demonstrating its efficiency.
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spelling Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factoriesMulti-robot task allocationSmart factoriesWarehouse logisticsConsensusIn smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based faultresilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault resilience is achieved using the collective behavior of a multi-robot system that applies ternary decisions based on these plans. The difference between this paper and our previous work is on the consensual level. As it is suitable for the analysis and design of coordinated behavior between autonomous robots, the consensus plan is restructured and enhanced. The proposed approach is tested and evaluated in a virtual warehouse based on a real environment. In addition, it is compared with other current approaches, and the results are presented, demonstrating its efficiency.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001 and in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).MDPIBiblioteca Digital do IPBKalempa, Vivian CremerPiardi, LuisLimeira, Marcelo A.Oliveira, Andre Schneider2023-12-20T16:36:40Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/29001engKalempa, Vivian Cremer; Piardi, Luis; Limeira, Marcelo A.; Oliveira, Andre Schneider (2023). Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories. Machines. eISSN 2075-1702. 11:4, p. 1-2110.3390/machines110404312075-1702info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-27T01:17:11Zoai:bibliotecadigital.ipb.pt:10198/29001Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:56:13.123661Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
title Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
spellingShingle Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
Kalempa, Vivian Cremer
Multi-robot task allocation
Smart factories
Warehouse logistics
Consensus
title_short Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
title_full Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
title_fullStr Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
title_full_unstemmed Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
title_sort Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories
author Kalempa, Vivian Cremer
author_facet Kalempa, Vivian Cremer
Piardi, Luis
Limeira, Marcelo A.
Oliveira, Andre Schneider
author_role author
author2 Piardi, Luis
Limeira, Marcelo A.
Oliveira, Andre Schneider
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Kalempa, Vivian Cremer
Piardi, Luis
Limeira, Marcelo A.
Oliveira, Andre Schneider
dc.subject.por.fl_str_mv Multi-robot task allocation
Smart factories
Warehouse logistics
Consensus
topic Multi-robot task allocation
Smart factories
Warehouse logistics
Consensus
description In smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based faultresilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault resilience is achieved using the collective behavior of a multi-robot system that applies ternary decisions based on these plans. The difference between this paper and our previous work is on the consensual level. As it is suitable for the analysis and design of coordinated behavior between autonomous robots, the consensus plan is restructured and enhanced. The proposed approach is tested and evaluated in a virtual warehouse based on a real environment. In addition, it is compared with other current approaches, and the results are presented, demonstrating its efficiency.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-20T16:36:40Z
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/29001
url http://hdl.handle.net/10198/29001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Kalempa, Vivian Cremer; Piardi, Luis; Limeira, Marcelo A.; Oliveira, Andre Schneider (2023). Multi-robot task scheduling for consensus-based fault-resilient intelligent behavior in smart factories. Machines. eISSN 2075-1702. 11:4, p. 1-21
10.3390/machines11040431
2075-1702
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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