dc.contributor.author | Zell, Andreas | |
dc.contributor.author | Bolz, Valentin | |
dc.contributor.author | Weber, Daniel | |
dc.date.accessioned | 2024-01-09T10:42:01Z | |
dc.date.available | 2024-01-09T10:42:01Z | |
dc.date.issued | 2023-12-13 | |
dc.identifier.isbn | 978-1-6654-9190-7 | |
dc.identifier.issn | 2153-0866 | |
dc.identifier.uri | http://hdl.handle.net/10900/149070 | |
dc.language.iso | en | de_DE |
dc.publisher | IEEE | de_DE |
dc.relation.uri | https://doi.org/10.1109/IROS55552.2023.10342312 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects | de_DE |
dc.type | Article | de_DE |
utue.personen.roh | Zell, Andreas | |
utue.personen.roh | Kasneci, Enkelejda | |
utue.personen.roh | Bolz, Valentin | |
utue.personen.roh | Weber, Daniel | |
dcterms.isPartOf.ZSTitelID | 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) | de_DE |
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