Learning and Execution of Object Manipulation Tasks on Humanoid Robots
Abstract (englisch):
Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.
| Zugehörige Institution(en) am KIT | Institut für Anthropomatik und Robotik (IAR) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2018 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-0749-9 ISSN: 2512-0875 urn:nbn:de:0072-783130 KITopen-ID: 1000078313 |
| Verlag | KIT Scientific Publishing |
| Umfang | X, 236 S. |
| Serie | Karlsruhe Series on Humanoid Robotics ; 3 |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Anthropomatik und Robotik (IAR) |
| Prüfungsdatum | 08.05.2017 |
| Schlagwörter | Robotik, Humanoide Robotik, Programmieren durch Vormachen, Autonome Systeme, Graphische Programmierung,, Robotics, Humanoid robotics, Programming by demonstration, Autonomous systems, Graphical programming |
| Referent/Betreuer | Asfour, T. |