- Alternative title
-
Lernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Darmstadt, Technische Universität Darmstadt, Dissertation, 2012
- Classification
-
Elektrotechnik, Elektronik
- Event
-
Veröffentlichung
- (where)
-
Darmstadt
- (who)
-
Universitäts- und Landesbibliothek Darmstadt
- (when)
-
2012
- Creator
- Contributor
-
Peters, Jan
Schaal, Stefan
- URN
-
urn:nbn:de:tuda-tuprints-29927
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Kober, Jens
- Peters, Jan
- Schaal, Stefan
- Universitäts- und Landesbibliothek Darmstadt
Time of origin
- 2012
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Learning Sequential Skills for Robot Manipulation Tasks
Intrinsically Motivated Actor-Critic for Robot Motor Learning
Robot Motor-Recorder
Imitation learning of motor skills for synthetic humanoids
A whole systems approach to robot imitation learning of object movement skills
Comparison of multi-robot task allocation algorithms
Genetic algorithms and soft computing
Toward a gecko-inspired, climbing soft robot
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Hierarchical memory organization of multimodal robot skills for plan-based robot control
Learning motor skills : from algorithms to robot experiments = Lernen motorischer Fähigkeiten
Learning Motion Skills for a Humanoid Robot
Learning Sequential Skills for Robot Manipulation Tasks
Intrinsically Motivated Actor-Critic for Robot Motor Learning
Robot Motor-Recorder
Imitation learning of motor skills for synthetic humanoids
A whole systems approach to robot imitation learning of object movement skills
Comparison of multi-robot task allocation algorithms
Genetic algorithms and soft computing
Toward a gecko-inspired, climbing soft robot
Robot Learning from Human Demonstrations for Human-Robot Synergy