Repository logo
 
Publication

Multi-robot preemptive task scheduling with fault recovery: a novel approach to automatic logistics of smart factories

2021Journal article Open access
Simple item page
dc.contributor.authorKalempa, Vivian Cremer
dc.contributor.authorPiardi, Luis
dc.contributor.authorLimeira, Marcelo A.
dc.contributor.authorOliveira, Andre Schneider
dc.date.accessioned2022-01-12T17:10:36Z
dc.date.available2022-01-12T17:10:36Z
dc.date.issued2021
dc.description.abstractThis paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority policies on preemptive task scheduling and considers dependencies between tasks, and tolerates faults. The approach is referred to as Multi-Robot Preemptive Task Scheduling with Fault Recovery (MRPF). It considers the interaction between running processes and their tasks for management at each new event, prioritizing the more relevant tasks without idleness and latency. The benefit of this approach is the optimization of production in smart factories, where autonomous robots are being employed to improve efficiency and increase flexibility. The evaluation of MRPF is performed through experimentation in small-scale warehouse logistics, referred to as Augmented Reality to Enhanced Experimentation in Smart Warehouses (ARENA). An analysis of priority scheduling, task preemption, and fault recovery is presented to show the benefits of the proposed approach.pt_PT
dc.description.sponsorshipThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001 and in part by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKalempa, Vivian Cremer; Piardi, Luis; Limeira, Marcelo; Oliveira, André Schneider (2021). Multi-robot preemptive task scheduling with fault recovery: a novel approach to automatic logistics of smart factories. Sensors. ISSN 1424-8220. 21:19, p. 1-26pt_PT
dc.identifier.doi10.3390/s21196536pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10198/24606
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMulti-robot task allocationpt_PT
dc.subjectMulti-robot preemptive task schedulingpt_PT
dc.subjectFault recoverypt_PT
dc.subjectSmart factoriespt_PT
dc.subjectWarehouse logisticspt_PT
dc.titleMulti-robot preemptive task scheduling with fault recovery: a novel approach to automatic logistics of smart factoriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue19pt_PT
oaire.citation.startPage6536pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume21pt_PT
person.familyNamePiardi
person.givenNameLuís
person.identifier.ciencia-idC51A-82DB-016F
person.identifier.orcid0000-0003-1627-8210
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication643e9664-ec9b-4b2f-b93c-6f3f8335fd61
relation.isAuthorOfPublication.latestForDiscovery643e9664-ec9b-4b2f-b93c-6f3f8335fd61

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Multi-robot.pdf
Size:
22.6 MB
Format:
Adobe Portable Document Format
Download

Collections

ESTiG - Artigos em Revistas Indexados à WoS/Scopus