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Learning of dynamic movement primitives with deep neural networks

Author(s): Rok Pahič (Author), Aleš Ude (Supervisor)

Year: 2021

Type: Doctoral dissertation

Robots that are supposed to perform human-like tasks must possess appropriate skills to carry them out. In unstructured environments and for complex tasks, these skills are difficult to pre-program due to the complexity of the real world. It is therefore advantageous if robots have the ability to acquire the necessary …