Speech Enhanced Imitation Learning and Task Abstraction for Human-Robot Interaction
IROS 2017: Workshop on Synergies Between Learning and Interaction, 2017
Workshop
Content
In this short paper, we show how to learn interaction primitives and networks from long interactions by taking advantage of language and speech markers. The speech markers are obtained from free speech that accompanies the demonstration. We perform experiments to show the value of using speech markers for learning interaction primitives.
Citation
@misc{stepputtis2017iros,
title={Speech Enhanced Imitation Learning and Task Abstraction for Human-Robot Interaction},
author={Simon Stepputtis and Chitta Baral and Heni Ben Amor},
year={2017},
booktitle = {IROS 2017: Workshop on Synergies Between Learning and Interaction},
}