The operation of a machine in the “physical” environment is typically supported by arithmetic models. However, when a human is involved there might emerge non-numerical data…
Our orientation is toward the development of machines with a capacity to interact with humans in various applications including education, precision farming, patrolling in the physical environment and other.
Our orientation is toward the conversion of our laboratory prototypes in commercial products.
(Greek) Το εργαστήριο ΑΜΑ, παρουσίασε τα έργα ΕΒΤΑΡ και ΚοιΡο3Ε στο “1ο Εσωτερικό Συνέδριο του Έρευνας και Καινοτομίας” του ΔιΠαΕ που διοργανώθηκε στη Θέρμη Θεσσαλονίκης.
(Greek) Το εργαστήριο ΑΜΑ, παρουσίασε τα έργα ΕΒΤΑΡ και ΚοιΡο3Ε στο “1ο Εσωτερικό Συνέδριο του Έρευνας και Καινοτομίας” του ΔιΠαΕ που διοργανώθηκε στη Θέρμη Θεσσαλονίκης.
Sorry, this entry is only available in Greek.
Sorry, this entry is only available in Greek.
G. Sidiropoulos, G.A. Papakostas, C. Lytridis, C. Bazinas, V. Kaburlasos, E. Kourampa, E. Karageorgiou, “Measuring Engagment Level in Child-Robot Interaction Using Machine Learning Based Data Analysis,” International Conference on Data Analytics for Business and Industry, 26-27 October 2020, Kingdom of Bahrain.
J. Musić, M. Bonković, S. Kružić, T. Marasović, V. Papić, S. Kostova, M. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, G. Papakostas, T. Pachidis, “Robotics and information technologies in education: four countries from Alpe-Adria-Danube Region survey”, International Journal of Technology and Design Education. Springer Nature B.V. 2020, published online: 13 October 2020, DOI: 10.1007/s10798-020-09631-9
E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, Real-time Vineyard Trunk Detection for a Grapes Harvesting Robot via Deep Learning, 13th International Conference on Machine Vision (ICMV 2020), Rome, Italy, November 02-06, 2020
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