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dc.contributor.authorJang, Minsu-
dc.contributor.authorAhn, Ho Seok-
dc.contributor.authorChoi, Jong-Suk-
dc.date.accessioned2024-01-19T09:34:37Z-
dc.date.available2024-01-19T09:34:37Z-
dc.date.created2023-04-20-
dc.date.issued2023-04-
dc.identifier.issn1875-4791-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/113833-
dc.description.abstractThe fast-paced development of learning models and training tactics in the field of artificial intelligence is motivating robotics community to employ machine learning-based data-driven approaches, and noticeable achievements have recently been reported in fundamental robotics fields like mapping and navigation, grasping, and even dexterous in-hand manipulations.-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titleEditorial Introduction to Special Issue on Machine Learning for Social Human-Robot Interaction-
dc.typeArticle-
dc.identifier.doi10.1007/s12369-023-00992-4-
dc.description.journalClass1-
dc.identifier.bibliographicCitationInternational Journal of Social Robotics, v.15, no.4, pp.581 - 582-
dc.citation.titleInternational Journal of Social Robotics-
dc.citation.volume15-
dc.citation.number4-
dc.citation.startPage581-
dc.citation.endPage582-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000959401600002-
dc.identifier.scopusid2-s2.0-85150964807-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.relation.journalResearchAreaRobotics-
dc.type.docTypeEditorial Material; Early Access-
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KIST Article > 2023
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