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dc.contributor.authorIzagirre, Unai
dc.contributor.authorArcin, Gautier
dc.contributor.authorandonegui, imanol
dc.contributor.authorEciolaza, Luka
dc.contributor.authorZurutuza, Urko
dc.date.accessioned2026-07-22T08:07:43Z
dc.date.available2026-07-22T08:07:43Z
dc.date.issued2020
dc.identifier.issn0268-3768en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=161578en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14637
dc.description.abstractThis manuscript reports on a novel methodology and experimental implementation for industrial robot standby pose optimization. First, we analyze the influence of the standby pose of robots in the reduction of their useful life by conducting a preliminary study in an automotive assembly line. Afterwards, we propose a novel methodology to optimize the standby pose of industrial robots by minimizing the torque applied in the joints. The results show that the methodology can reduce by 31.37% the average torque applied by a 200-kg-payload, 6 degree-of-freedom industrial robot in normal production conditions. In addition, we demonstrate that the methodology is robot model and tool invariant, by implementing the presented solution in a Kuka KR3 and two ABB IRB 6400r robots with different tools. The benefits of optimizing the standby pose of industrial robots in manufacturing assembly lines are twofold. First, it reduces the stress and temperature of the joints, increasing the remaining useful life. Second, it offers the possibility of substantially reducing the energy consumption of the production line, as the time spent by industrial robots in a standby pose can reach up to 80% of their total operational time.en
dc.language.isoengen
dc.publisherSpringer Natureen
dc.rights© Springer Natureen
dc.subjectPose optimizationen
dc.subjectPHMen
dc.subjectIndustrial robotsen
dc.subjectGenetic algorithmsen
dc.subjectSustainable manufacturingen
dc.titleTorque-based methodology and experimental implementation for industrial robot standby pose optimizationen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourceInternational Journal of Advanced Manufacturing Technologyen
local.contributor.groupAnálisis de datos y ciberseguridades
local.contributor.groupRobótica y automatizaciónes
local.description.peerreviewedtrueen
local.description.publicationfirstpage2065en
local.description.publicationlastpage2072en
local.identifier.doihttps://doi.org/10.1007/s00170-020-06234-5en
local.contributor.otherinstitutionhttps://ror.org/01ahyrz84es
local.source.detailsVol. 111 (7-8)en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
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dc.unesco.clasificacionhttp://skos.um.es/unesco6/331101en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/120305en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/120903en


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