Abstract Numerous studies have reported social robot applications for children including both typical and special education. Similar applications for the elderly are underplayed. However, children grow to adults and, ultimately, to elderly. This preliminary work, based on our expertise with social robot NAO in special education applications for children, reports an approach for engaging social robots for elderly with Alzheimer’s disease. In particular, a social robot, equipped with a variety of electronic sensors and supported by suitable mathematical models implemented in software, is engaged as a…
Fuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest – FLINS 2022 on Machine learning, Multi agent and Cyber physical systems, Tianjin, China (Best Paper Award)
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN 2020, Glasgow, United Kingdom
V. G. Kaburlasos, E. Vrochidou, C. Lytridis, G. A. Papakostas, T. Pachidis, M. Manios, S. Mamalis, T. Merou, S. Koundouras, S. Theocharis, G. Siavalas, C. Sgouros, P. Kyriakidis, “Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206965.
Kaburlasos, C. Bazinas, G. Siavalas, G. Papakostas, “Linguistic social robot control by crowd-computing feedback”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B13.