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dc.contributor.authorNavarro-Guerrero, N.
dc.contributor.authorNguyen, S. M.
dc.contributor.authorÖztop, Erhan
dc.contributor.authorZhong, J.
dc.date.accessioned2023-05-03T05:00:03Z
dc.date.available2023-05-03T05:00:03Z
dc.date.issued2021-06
dc.identifier.issn2379-8920en_US
dc.identifier.urihttp://hdl.handle.net/10679/8162
dc.identifier.urihttps://ieeexplore.ieee.org/document/9448370
dc.description.abstractThe pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all possible scenarios that a particular robot might encounter. Second, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive.en_US
dc.description.sponsorshipEuropean Commission
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Cognitive and Developmental Systems
dc.rightsrestrictedAccess
dc.titleGuest editorial special issue on continual unsupervised sensorimotor learningen_US
dc.typeEditorialen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-3051-6038 & YÖK ID 45227) Öztop, Erhan
dc.contributor.ozuauthorÖztop, Erhan
dc.identifier.volume13en_US
dc.identifier.issue2en_US
dc.identifier.startpage234en_US
dc.identifier.endpage238en_US
dc.identifier.wosWOS:000659548600001
dc.identifier.doi10.1109/TCDS.2021.3082880en_US
dc.identifier.scopusSCOPUS:2-s2.0-85111000919
dc.relation.publicationcategoryEditorial - Institutional Academic Staff


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