Understanding Joint Range of Motion Development in Robotic Learning

UDC.coleccionInvestigación
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage365
UDC.grupoInvGrupo Integrado de Enxeñaría (GII)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.issue4
UDC.journalTitleIntegrated Computer-Aided Engineering
UDC.startPage346
UDC.volume32
dc.contributor.authorNaya-Varela, M.
dc.contributor.authorFaíña, Andrés
dc.contributor.authorRomero, Alejandro
dc.contributor.authorDuro, Richard J.
dc.date.accessioned2026-07-28T11:07:06Z
dc.date.available2026-07-28T11:07:06Z
dc.date.issued2025-04-23
dc.description.abstract[Abstract] Joint Range of Motion (JROM) development has been shown to facilitate learning motor control in human beings. This developmental strategy has been applied in robotics to improve learning performance with different outcomes: sometimes it is favourable, others irrelevant, and others, even detrimental. The reasons that underpin this variability in the results are still not well understood. In this paper, we seek to better understand the principles underlying the application of JROM based morphological development to make its use more straightforward. To this end, empirical studies were carried out over two representative use cases: quadruped and bipedal robot morphologies learning to walk. Different parameters of the application of JROM development (morphological configuration, JROM developmental strategy, etc.) have been evaluated to elucidate their effects over learning. The results show that there are significant connections between the reduction of the motor space induced by JROM and the way the exploration and exploitation of the solution space is carried out by the learning algorithm, and the performance achieved. Through these connections, we have identified a set of conditions that must be satisfied for JROM development to be effective as a tool for learning improvement.
dc.description.sponsorshipThis research was partially funded by the European Union’s Horizon 2020, Research and Innovation Programme, GA 101070381 (“PILLAR-Robots - Purposeful Intrinsically-motivated Lifelong Learning Autonomous Robots”), by Xunta de Galicia (EDC431C-2021/39 and M. Naya-Varela’s grant ED481B), by the Spanish Science and Education Ministry (PID2021-126220OB-I00), and the Ministry for Digital Transformation and Civil Service and Next-Generation EU/RRF (TSI-100925-2023-1), by “ERDF A way of making Europe’, Centro de Investigación de Galicia “CITIC” (ED431G 2019/01).
dc.description.sponsorshipXunta de Galicia; EDC431C-2021/39
dc.description.sponsorshipXunta de Galicia; ED481B-2022-004
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01
dc.identifier.citationNaya-Varela M, Faiña A, Romero A, Duro RJ. Understanding joint range of motion development in robotic learning. Integrated Computer-Aided Engineering. 2025;32(4):346-365. doi:10.1177/10692509251335114
dc.identifier.doi10.1177/10692509251335114
dc.identifier.issn1875-8835
dc.identifier.urihttps://hdl.handle.net/2183/48956
dc.language.isoeng
dc.publisherSage
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101070381
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-126220OB-I00/ES/REPRESENTACION EN APRENDIZAJE CONTINUO Y ABIERTO EN ROBOTS INTELIGENTES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MTDPF//TSI-100925-2023-1/ES/CÁTEDRA UDC-INDITEX DE IA EN ALGORITMOS VERDES
dc.relation.urihttps://doi.org/10.1177/10692509251335114
dc.rightsCopyright © 2025 Sage Publications
dc.rights.accessRightsopen access
dc.subjectCognitive robotics
dc.subjectDevelopmental robotics
dc.subjectMorphological development
dc.subjectMotor development
dc.subjectJoint range of motion
dc.titleUnderstanding Joint Range of Motion Development in Robotic Learning
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublicationa3082627-8669-4257-8e06-9d5155b5bb31
relation.isAuthorOfPublication2a69f41e-adf4-4eb6-a7a3-9ff2439167a0
relation.isAuthorOfPublication85df8d3f-49d3-4327-811d-e8038cead7dd
relation.isAuthorOfPublication.latestForDiscoverya3082627-8669-4257-8e06-9d5155b5bb31

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