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dc.contributor.authorUrrutia, Julen
dc.contributor.authorIzquierdo Ortiz de Landaluce, Mikel
dc.contributor.authorUlacia Garmendia, Ibai
dc.contributor.authorAgirre, Nora
dc.contributor.authorInziarte Hidalgo, Ibai
dc.contributor.authorLarrañaga Amilibia, Jon
dc.date.accessioned2025-09-26T12:26:17Z
dc.date.available2025-09-26T12:26:17Z
dc.date.issued2025
dc.identifier.isbn979-8-3315-4139-2en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=189481en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/13952
dc.description.abstractThe precision of industrial robots is often limited by the relatively low stiffness of their joints, leading to positioning errors influenced by factors such as the mass and inertia of robotic links, external forces, and the counterbalance system (CBS). Counterbalance systems, typically consisting of hydropneumatic cylinders, are designed to reduce motor torque and assist in supporting heavier links. Traditionally, positioning errors in industrial robots have been corrected statically by determining pose-dependent stiffness values. However, recent numerical models incorporate inertial effects to improve positioning error correction, making accurate inertial parameter identification essential. These parameters are typically unknown and must be determined experimentally. While methodologies for inertial parameter estimation have been extensively studied, none have accounted for the effect of the counterbalance system in this process. To address this gap, a methodology for estimating inertial parameters was applied to a heavy industrial robot, considering the influence of the counterbalance system. A comparative analysis with and without the counterbalance system showed that its inclusion improved joint torque calculation accuracy, showing the necessity of considering it in dynamic parameter characterization methodologies.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2025 IEEEen
dc.titleThe Influence of Counterbalance System on the Dynamic Characterization of Heavy Industrial Robotsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE International Conference on Robotics and Automationen
local.contributor.groupDiseño y mecánica estructurales
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/ICRA55743.2025.11128332en
local.contributor.otherinstitutionhttps://ror.org/00wvqgd19es
local.contributor.otherinstitutionhttps://ror.org/013hc2j39es
local.source.detailsAtlanta, 19-23 may 2025en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept6156
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086
oaire.fundingStreamPrograma Bikaintek 2020en
oaire.fundingStreamConvocatoria Universidad Empresa 2024-2025en
oaire.fundingStreamElkartek 2024en
oaire.awardNumber020-B2-2020en
oaire.awardNumberPUE_2024_1_0019en
oaire.awardNumberKK-2024-00024en
oaire.awardTitleSin informaciónen
oaire.awardTitleGemelos Digitales Avanzados de robots industriales mediante la Caracterización Dinámica (RobPosDig)en
oaire.awardTitleHacia una generación automática de trayectorias de geometría multiforma en robótica de nueva generación (AURRERA)en
oaire.awardURISin informaciónen
oaire.awardURISin informaciónen
oaire.awardURISin informaciónen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/330532


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