RT Journal Article
SR 00
ID 10.1007/s12369-021-00821-6
A1 Gyrard, Amelle
A1 Sengès, Eloïse
A1 Tabeau, Kasia
T1 Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being
JF International Journal of Social Robotics
YR 2023
FD 2023
VO vol. 15
IS n° 3
SP 445
OP 472
K1 Co-creation
K1 Robotics
K1 Smart health
K1 Emotional care
K1 Ageing
K1 Elderly
K1 Internet of robotic things
K1 Cloud robotic
K1 Artificial intelligence
K1 Ontology
K1 Semantic reasoning
K1 Semantic web technologies
K1 Reusable knowledge engineering
K1 Semantic web of things (SWoT)
K1 Knowledge directory service
K1 Body of knowledge
AB 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).
PB Springer
SN 1875-4791
LK https://publications.ut-capitole.fr/id/eprint/45173/