Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being

Amelie Gyrard*, Kasia Tabeau, Laura Fiorini, Antonio Kung, Eloise Senges, Marleen de Mul, Francesco Giuliani, Delphine Lefebvre, Hiroshi Hoshino, Isabelle Fabbricotti, Daniele Sancarlo, Grazia D’Onofrio, Filippo Cavallo, Denis Guiot, Estibaliz Arzoz-Fernandez, Yasuo Okabe, Masahiko Tsukamoto

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
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Social companion robots are getting more attention to assist elderly people to stay independent at home and to decrease their social isolation. When developing solutions, one remaining challenge is to design the right applications that are usable by elderly people. For this purpose, co-creation methodologies involving multiple stakeholders and a multidisciplinary researcher team (e.g., elderly people, medical professionals, and computer scientists such as roboticists or IoT engineers) are designed within the ACCRA (Agile Co-Creation of Robots for Ageing) project. This paper will address this research question: How can Internet of Robotic Things (IoRT) technology and co-creation methodologies help to design emotional-based robotic applications? This is supported by the ACCRA project that develops advanced social robots to support active and healthy ageing, co-created by various stakeholders such as ageing people and physicians. We demonstra this with three robots, Buddy, ASTRO, and RoboHon, used for daily life, mobility, and conversation. The three robots understand and convey emotions in real-time using the Internet of Things and Artificial Intelligence technologies (e.g., knowledge-based reasoning).

Original languageEnglish
Number of pages28
JournalInternational Journal of Social Robotics
Early online date16 Nov 2021
Publication statusPublished - 16 Nov 2021

Bibliographical note

Funding Information:
This work has partially received funding from the European Union’s Horizon 2020 research and innovation program (ACCRA) under grant agreement No. 738251, National Institute of Information and Communications Technology (NICT) of Japan, and AI4EU No. 825619. We would like to thanks ACCRA partners for their valuable comments. The opinions expressed are those of the authors and do not reflect those of the sponsors.

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V.

© The Author(s), under exclusive licence to Springer Nature B.V. 2021.


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