Combining learned and analytical models for predicting action effects from sensory data

dc.contributor.author	Kloss, Alina
dc.date.accessioned	2021-08-03T12:36:40Z
dc.date.available	2021-08-03T12:36:40Z
dc.date.issued	2020
dc.identifier.issn	1741-3176
dc.identifier.uri	http://hdl.handle.net/10900/117666
dc.language.iso	en	en
dc.publisher	Sage Publications Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1177/0278364920954896	de_DE
dc.subject.ddc	600	de_DE
dc.title	Combining learned and analytical models for predicting action effects from sensory data	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210304112512_01518
utue.personen.roh	Kloss, Alina
utue.personen.roh	Schaal, Stefan
utue.personen.roh	Bohg, Jeannette
dcterms.isPartOf.ZSTitelID	International Journal of Robotics Research	de_DE
dcterms.isPartOf.ZS-Issue	Article 0278364920954896	de_DE

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