| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.advisor | Zhang, Jianwei | - |
| dc.contributor.author | Zhang, Lei | - |
| dc.date.accessioned | 2026-07-02T09:32:56Z | - |
| dc.date.available | 2026-07-02T09:32:56Z | - |
| dc.date.issued | 2026-01 | - |
| dc.identifier.uri | https://ediss.sub.uni-hamburg.de/handle/ediss/12481 | - |
| dc.language.iso | en | de_DE |
| dc.publisher | Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky | de |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | de_DE |
| dc.subject | Responsible Robotic Manipulation | en |
| dc.subject | Dexterous Robotic Manipulation | en |
| dc.subject | Sim2Real Learning | en |
| dc.subject.ddc | 004: Informatik | de_DE |
| dc.title | Responsible and Generalizable Dexterous Manipulation through Multimodal Perception, Reasoning, and Sim2Real Learning | en |
| dc.type | doctoralThesis | en |
| dcterms.dateAccepted | 2026-06-29 | - |
| dc.rights.cc | https://creativecommons.org/licenses/by/4.0/ | de_DE |
| dc.rights.rs | http://rightsstatements.org/vocab/InC/1.0/ | - |
| dc.subject.bcl | 54.72: Künstliche Intelligenz | de_DE |
| dc.subject.gnd | Robotik | de_DE |
| dc.subject.gnd | Künstliche Intelligenz | de_DE |
| dc.subject.gnd | Multimodales System | de_DE |
| dc.type.casrai | Dissertation | - |
| dc.type.dini | doctoralThesis | - |
| dc.type.driver | doctoralThesis | - |
| dc.type.status | info:eu-repo/semantics/publishedVersion | de_DE |
| dc.type.thesis | doctoralThesis | de_DE |
| tuhh.type.opus | Dissertation | - |
| thesis.grantor.department | Informatik | de_DE |
| thesis.grantor.place | Hamburg | - |
| thesis.grantor.universityOrInstitution | Universität Hamburg | de_DE |
| dcterms.DCMIType | Text | - |
| dc.identifier.urn | urn:nbn:de:gbv:18-ediss-138968 | - |
| item.grantfulltext | open | - |
| item.languageiso639-1 | other | - |
| item.creatorOrcid | Zhang, Lei | - |
| item.advisorGND | Zhang, Jianwei | - |
| item.creatorGND | Zhang, Lei | - |
| item.fulltext | With Fulltext | - |
| Enthalten in den Sammlungen: | Elektronische Dissertationen und Habilitationen | |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Prüfsumme | Größe | Format | |
|---|---|---|---|---|---|
| Lei_Zhang_PhD_Dissertation_2026.pdf | ba5b1da4abb502cc9dfc9b22ab6c1b18 | 19.49 MB | Adobe PDF |  Öffnen/Anzeigen |
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