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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.
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Wächter, M. 2018. Learning and Execution of Object Manipulation Tasks on Humanoid Robots. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000078313
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Veröffentlicht am 21. März 2018
Englisch
258
| Paperback | 978-3-7315-0749-9 |