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Adaptive social force window planner with reinforcement learning

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dc.contributor.authorMartini, Mauro
dc.contributor.authorPérez Higueras, Noé
dc.contributor.authorOstuni, Andrea
dc.contributor.authorChiaberge, Marcello
dc.contributor.authorCaballero, Fernando
dc.contributor.authorMerino, Luis
dc.date.accessioned2026-01-15T12:51:44Z
dc.date.available2026-01-15T12:51:44Z
dc.date.issued2024-10-14
dc.description.sponsorshipDeporte e Informática
dc.description.sponsorshipService Robotics Lab
dc.format.mimetypeapplication/pdf
dc.identifier.citation2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 2024, pp. 4816-4822
dc.identifier.doi10.1109/IROS58592.2024.10802383
dc.identifier.urihttps://hdl.handle.net/10433/25610
dc.language.isoen
dc.publisherIEEE
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PLEC2021-007868/ES/NHoA Nunca en casa solo/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN/AEI/10.13039/501100011033/ES/TED2021-132476B-I00/
dc.rights.accessRightsrestricted access
dc.subjectLearning systems
dc.subjectCosts
dc.subjectNavigation
dc.subjectForce
dc.subjectLinear Programming
dc.subjectRobustness
dc.subjectTrajectory
dc.subjectMobile robots
dc.subjectIntelligent robots
dc.titleAdaptive social force window planner with reinforcement learning
dc.typeconference output
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicationc280da0b-63c4-4627-98bb-8b1e4589ef77
relation.isAuthorOfPublication144853bd-af99-4072-840b-71bdd0b94309
relation.isAuthorOfPublication021f43bc-c25f-40dd-9ac1-0fc2933e7071
relation.isAuthorOfPublication.latestForDiscoveryc280da0b-63c4-4627-98bb-8b1e4589ef77

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