A Model-free Approach to Stroke Learning for Robotic Table Tennis

dc.contributor.author	Zell, Andreas
dc.contributor.author	Tebbe, Jonas
dc.contributor.author	Gao, Yapeng
dc.date.accessioned	2023-07-07T09:42:48Z
dc.date.available	2023-07-07T09:42:48Z
dc.date.issued	2022-09-30
dc.identifier.isbn	978-1-7281-8671-9
dc.identifier.issn	2161-4407
dc.identifier.uri	http://hdl.handle.net/10900/143223
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://doi.org/10.1109/IJCNN55064.2022.9892776	de_DE
dc.subject.ddc	004	de_DE
dc.title	A Model-free Approach to Stroke Learning for Robotic Table Tennis	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.publikation.seiten	1-8	de_DE
utue.personen.roh	Zell, Andreas
utue.personen.roh	Tebbe, Jonas
utue.personen.roh	Gao, Yapeng
dcterms.isPartOf.ZSTitelID	2022 International Joint Conference on Neural Networks (IJCNN)	de_DE