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Empowering Interactive Robots by Learning through Multimodal Feedback Channel
Turan, Cigdem1; Koert, Dorothea1; Neergaard, Karl David2; Lioutikov, Rudolf3
2021-10-18
Conference Namethe 23rd ACM International Conference on Multimodal Interaction
Source PublicationICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction
Pages870-871
Conference Date18 October 2021through 22 October 2021
Conference PlaceVirtual, Online
Abstract

This paper introduces the first workshop on "Empowering Interactive Robots by Learning Through Multimodal Feedback Channel"organized at the 23rd ACM International Conference on Multimodal Interaction in Montreal, Canada. This workshop aims to bring together researcher from different disciplines to stimulate a discussion on how multimodality can become key to the emerging field of interactive machine learning.

KeywordDatasets Gaze Detection Neural Networks Text Tagging
DOI10.1145/3462244.3480982
URLView the original
Language英語English
Scopus ID2-s2.0-85118973662
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Technical University of Darmstadt, Darmstadt, Germany
2.University of Macau, Macao
3.University of Texas, Austin, United States
Recommended Citation
GB/T 7714
Turan, Cigdem,Koert, Dorothea,Neergaard, Karl David,et al. Empowering Interactive Robots by Learning through Multimodal Feedback Channel[C], 2021, 870-871.
APA Turan, Cigdem., Koert, Dorothea., Neergaard, Karl David., & Lioutikov, Rudolf (2021). Empowering Interactive Robots by Learning through Multimodal Feedback Channel. ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction, 870-871.
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