Learning for sequential manipulation:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Technische Universität Berlin
2024
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext https://d-nb.info/1351410865/34 |
| Beschreibung: | 328 Blätter Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-21355 |
Internformat
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Datensatz im Suchindex
| _version_ | 1820678281235529728 |
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| adam_text | |
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| author | Driess, Danny |
| author_facet | Driess, Danny |
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| author_sort | Driess, Danny |
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| building | Verbundindex |
| bvnumber | BV050112019 |
| ctrlnum | (DE-599)BVBBV050112019 |
| doi_str_mv | 10.14279/depositonce-21355 |
| format | Thesis Book |
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| spelling | Driess, Danny Verfasser aut Learning for sequential manipulation vorgelegt von M.Sc. Danny Driess Methoden maschinellen Lernens für sequenzielle Manipulationsprobleme Berlin Technische Universität Berlin 2024 328 Blätter Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität Berlin 2024 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 3\p Maschinelles Lernen (DE-588)4193754-5 gnd 4\p Bahnplanung (DE-588)4267628-9 gnd 5\p Automatische Handlungsplanung (DE-588)4211191-2 gnd 6\p Autonomer Roboter (DE-588)4304075-5 gnd 7\p Neuronales Netz (DE-588)4226127-2 gnd (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe 10.14279/depositonce-21355 (DE-604)BV050112013 https://doi.org/10.14279/depositonce-21355 Resolving-System kostenfrei Volltext https://hdl.handle.net/11303/22554 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2412180103489.415245519327 Resolving-System kostenfrei Volltext https://d-nb.info/1351410865/34 Langzeitarchivierung Nationalbibliothek 1\p emakn 0,96925 20241218 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,43634 20241218 DE-101 https://d-nb.info/provenance/plan#emasg 3\p emagnd 0,27326 20241218 DE-101 https://d-nb.info/provenance/plan#emagnd 4\p emagnd 0,12655 20241218 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,09413 20241218 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,06250 20241218 DE-101 https://d-nb.info/provenance/plan#emagnd 7\p emagnd 0,04937 20241218 DE-101 https://d-nb.info/provenance/plan#emagnd |
| spellingShingle | Driess, Danny Learning for sequential manipulation 3\p Maschinelles Lernen (DE-588)4193754-5 gnd 4\p Bahnplanung (DE-588)4267628-9 gnd 5\p Automatische Handlungsplanung (DE-588)4211191-2 gnd 6\p Autonomer Roboter (DE-588)4304075-5 gnd 7\p Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4267628-9 (DE-588)4211191-2 (DE-588)4304075-5 (DE-588)4226127-2 (DE-588)4113937-9 |
| title | Learning for sequential manipulation |
| title_alt | Methoden maschinellen Lernens für sequenzielle Manipulationsprobleme |
| title_auth | Learning for sequential manipulation |
| title_exact_search | Learning for sequential manipulation |
| title_full | Learning for sequential manipulation vorgelegt von M.Sc. Danny Driess |
| title_fullStr | Learning for sequential manipulation vorgelegt von M.Sc. Danny Driess |
| title_full_unstemmed | Learning for sequential manipulation vorgelegt von M.Sc. Danny Driess |
| title_short | Learning for sequential manipulation |
| title_sort | learning for sequential manipulation |
| topic | 3\p Maschinelles Lernen (DE-588)4193754-5 gnd 4\p Bahnplanung (DE-588)4267628-9 gnd 5\p Automatische Handlungsplanung (DE-588)4211191-2 gnd 6\p Autonomer Roboter (DE-588)4304075-5 gnd 7\p Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Maschinelles Lernen Bahnplanung Automatische Handlungsplanung Autonomer Roboter Neuronales Netz Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-21355 https://hdl.handle.net/11303/22554 https://nbn-resolving.org/urn:nbn:de:101:1-2412180103489.415245519327 https://d-nb.info/1351410865/34 |
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