Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Minsu | - |
dc.contributor.author | Ahn, Ho Seok | - |
dc.contributor.author | Choi, Jong-Suk | - |
dc.date.accessioned | 2024-01-19T09:34:37Z | - |
dc.date.available | 2024-01-19T09:34:37Z | - |
dc.date.created | 2023-04-20 | - |
dc.date.issued | 2023-04 | - |
dc.identifier.issn | 1875-4791 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/113833 | - |
dc.description.abstract | The 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.language | English | - |
dc.publisher | Springer Verlag | - |
dc.title | Editorial Introduction to Special Issue on Machine Learning for Social Human-Robot Interaction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s12369-023-00992-4 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | International Journal of Social Robotics, v.15, no.4, pp.581 - 582 | - |
dc.citation.title | International Journal of Social Robotics | - |
dc.citation.volume | 15 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 581 | - |
dc.citation.endPage | 582 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000959401600002 | - |
dc.identifier.scopusid | 2-s2.0-85150964807 | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.relation.journalResearchArea | Robotics | - |
dc.type.docType | Editorial Material; Early Access | - |
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