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…

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.

Entrepreneurship

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

Vassilis Kaburlasos

Expertise: Computational Intelligence
Homepage

Theodoros Pachidis

Expertise: Robotics and Software Engineering

Michail Manios

Technical Staff
Homepage

Stamatis Chatzistamatis

Administrative Staff

Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach – ITISE 2021, Gran Canaria, Spain, 19-21 July 2021

Bazinas, C.; Vrochidou, E.; Lytridis, C.; Kaburlasos, V.G. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach. Eng. Proc. 2021, 5, 12. https://doi.org/10.3390/engproc20210050012

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Estimating children engagement interacting with robots in special education using machine learning – Mathematical Problems in Engineering, Special Issue on “Recent Trends in Advance Robotic Systems”, vol. 2021, 2021

G. A. Papakostas, G. K. Sidiropoulos, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, P. Kechayas, M. T. Papadopoulou, “Estimating children engagement interacting with robots in special education using machine learning”, Mathematical Problems in Engineering, Special Issue on “Recent Trends in Advance Robotic Systems”, vol. 2021, Article ID 9955212, https://doi.org/10.1155/2021/9955212

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Development of educational scenarios for child-robot interaction: The case of learning disabilities – RIE 2021, Bratislava, Slovakia

E. Karageorgiou, E. Kourampa, A.-T. Papanikolaou, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Avramidou, “Development of educational scenarios for child-robot interaction: The case of learning disabilities”, 12th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 28 – 30 April 2021.

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Grape stem detection using regression convolutional neural networks – Computers and Electronics in Agriculture, vol. 186, p. 106220, 2021

Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.

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