Abstract
This article deals with the problem of the interaction and engagement between humans and humanoid Robots in circumstances where it is essential to be sure that engagement has occurred and it persists for the right time. In particular, in Robot-aided medical care (but also in other critical situations), it is essential to be sure that the flow of information between the human and the humanoid Robot effectively occurs between the actual patient and the Robot. Many sensory data of the Robot will be involved in a data fusion algorithm to provide robustness and stability in the Human–Robot interaction. The methodology described in this article has been realized on real Robots (Nao and Pepper) and implemented through Python scripts in ROS (Robot Operating System).
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Acknowledgements
This research was partially supported by the project AMICO—Assistenza Medicale In COntextual Awareness, with funding from the National Programs of the Italian Ministry of Education, Universities and Research (code: ARS01_00900).
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Maniscalco, U., Messina, A., Storniolo, P. (2021). The Human–Robot Interaction in Robot-Aided Medical Care. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_19
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DOI: https://doi.org/10.1007/978-981-15-5784-2_19
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