Image Processing-Based Supervised Learning to Predict Robot Intention for Multimodal Interactions Between a Virtual Human and a Social Robot-Reference-Cited by-同舟云学术

Image Processing-Based Supervised Learning to Predict Robot Intention for Multimodal Interactions Between a Virtual Human and a Social Robot

Published:2021 Issue: Volume: Page:533-539
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Rahman S. M. Mizanoor

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68017-6_79

Reference13 articles.

1. Rahman, S.M.M.: Evaluating and benchmarking the interactions between a humanoid robot and a virtual human for a real-world social task. In: Proceedings of the 6th International Conference on Advances in Information Technology. In: Communications in Computer and Information Science, vol. 409, pp. 184–197 (2013)

2. Rahman, S.M.M.: Generating human-like social motion in a human-looking humanoid robot: the biomimetic approach. In: Proceedings of IEEE International Conference on Robotics and Biomimetics, pp. 1377–1383 (2013)

3. Rahman, S.M.M.: Cyber-physical-social system between a humanoid robot and a virtual human through a shared platform for adaptive agent ecology. IEEE/CAA J. Automatica Sinica 5(1), 190–203 (2018)

4. Rahman, S.M.M.: Collaboration between a physical robot and a virtual human through a unified platform for personal assistance to humans. personal assistants: emerging computational technologies, Intel. Syst. Ref. Library Series, A. Costa, V. Julian, P. Novais (Eds.), Springer, vol. 132, Ch. 9, pp. 149–177 (2017)

5. Rahman, S.M.M.: People-centric adaptive social ecology between humanoid robot and virtual human for social cooperation. Commun. Comput. Inf. Sci. 413, 120–135 (2013)

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