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Social robots skills learning from demonstration

URI
https://arbor.bfh.ch/handle/arbor/41815
Version
Published
Date Issued
2020-12
Author(s)
Griffiths, Sascha
Gees, Thomas  
Koumpis, Adamantios  
Type
Conference Paper
Language
English
Subjects

Social robots

natural language gene...

conversational agents...

learning from demonst...

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)
DOI
10.24451/arbor.14027
https://doi.org/10.24451/arbor.14027
Series/Report No.
2nd Workshop on Natural Language Generation for Human-Robot Interaction (NLG4HRI)
Publisher URL
https://hbuschme.github.io/nlg-hri-workshop-2020/organisation/
Organization
Institut Digital Enabling (IDE)  
Digital Skills  
Institut Digital Technology Management  
Digtial Innovation and Transformation  
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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Size

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