Transferring human emotions to robot motions using Neural Policy Style Transfer

Neural Style Transfer (NST) was originally proposed to use feature extraction capabilities of Neural Networks as a way to perform Style Transfer with images. Pre-trained image classification architectures were selected for feature extraction, leading to new images showing the same content as the ori...

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Veröffentlicht in:	Cognitive systems research Jg. 82; S. 101121
Hauptverfasser:	Fernandez-Fernandez, Raul, Łukawski, Bartek, Victores, Juan G., Pacchierotti, Claudio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2023 Elsevier
Schlagworte:	Autoencoders Computer Science Deep reinforcement learning NPST Robotics Style transfer TD3 Style transfer Deep reinforcement learning TD3 Autoencoders NPST
ISSN:	1389-0417, 1389-0417
Online-Zugang:	Volltext
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