Welcome to the

HUman-MAchines INteraction Laboratory (HUMAIN-Lab)

Welcome to the

HUman-MAchines INteraction Laboratory (HUMAIN-Lab)

Scope:
Machines, implemented either in hardware or in software, with whom a human interacts proliferate, furthermore their complexity increases; for instance, the aforementioned machines include devices for communication, computers, robots, costumer service software, and other. This lab pursues the study, analysis and design of both hardware and software that enables the seamless collaboration of humans with machines.
Objectives

Innovation

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…

Entrepreneurship

Our orientation is toward the conversion of our laboratory prototypes in commercial products.

Inventiveness

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.

Vassilis Kaburlasos

Expertise: Computational Intelligence
Homepage

Georgios Papakostas

Expertise: Computer Vision & Machine Learning
Homepage

Theodoros Pachidis

Expertise: Robotics and Software Engineering

Michail Manios

Technical Staff
Homepage

Robotics and Information Technologies in Education: Four Countries from Alpe-Adria-Danube Region Survey – International Journal of Technology and Design Education

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

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Real-time Vineyard Trunk Detection for a Grapes Harvesting Robot via Deep Learning – ICMV, Rome, Italy, November 02-06, 2020

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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Exploration of viticultural tasks to be performed by autonomous robot: possibilities and limitation – AGROSYM , Jahorina, Bosnia and Herzegovina, 8-11 October, 2020

E. Bouloumpasi, S. Theocharis, A. Karampatea, S. Pavlidis, S. Mamalis, S. Koundouras, T. Merou, E. Vrochidou, T. Pachidis, M. Manios, G. Papakostas, V. Kaburlasos, “Exploration of viticultural tasks to be performed by autonomous robot: possibilities and limitation”, 11th International Scientific Agriculture Symposium (AGROSYM 2020), Jahorina, Bosnia and Herzegovina, 8-11 October, 2020

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Information Management and Monitoring System for a Grapes Harvesting Robot – CIEES 2020, Borovets, Bulgaria, 26-29 November 2020

K. Tziridis, A. Nicolaou, T. Kalampokas, E. Vrochidou, T. Pachidis, G.A. Papakostas and V. G. Kaburlasos, “Information Management and Monitoring System for a Grapes Harvesting Robot”, International Scientific Conference of Communications, Information, Electronic and Energy Systems – CIEES 2020, Borovets, Bulgaria, 26-29 November 2020

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Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN, Glasgow, United Kingdom, 2020

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.

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