Social robots skills learning from demonstration
Version
Published
Date Issued
2020-12
Author(s)
Type
Conference Paper
Language
English
Abstract
In the paper we address the issue of deploying a learning-from-demonstration approach to acquire skills for carrying out conversational tasks with humans. The core idea is to have the robots exploit curated data resulting from human end-user training on dedicated simulators. This will be employed to train social skills in robots using AI models. The resulting social robot will incorporate the trained models.
Subjects
T Technology (General)
Series/Report No.
2nd Workshop on Natural Language Generation for Human-Robot Interaction (NLG4HRI)
Conference
13th International Conference on Natural Language Generation (INLG 2020)
Publisher
Association for Computational Linguistics (ACL)
Submitter
KoumpisA
Citation apa
Griffiths, S., Gees, T., & Koumpis, A. (2020). Social robots skills learning from demonstration. 13th International Conference on Natural Language Generation (INLG 2020). Association for Computational Linguistics (ACL). https://doi.org/10.24451/arbor.14027
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18 dec 2020 ACM template - Social robots skills learning from demonstration.pdf
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