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

Multi-agent parallel implementation to solve nonlinear equality constrained multiobjective optimization problem – Case of unmanned aerial vehicle (UAV) – ICDS 2019, Marrakech, Morocco

A. Jaafar, Y. Illoussamen, E. Vrochidou, T. Pachidis. V. G. Kaburlasos, M. Mestari, “Multi-agent parallel implementation to solve nonlinear equality constrained multiobjective optimization problem – Case of unmanned aerial vehicle (UAV)”, Proceedings of the 3rd International Conference on Intelligent Computing in Data Sciences (ICDS 2019), Marrakech, Morocco, 28-30 October 2019

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A decision making approach with linguistic weight and unavoidable incomparable ranking – International Journal of Computational Intelligence Systems 2019, vol. 12, no. 2

Y. Zhang, D. Huang, W. Gao, V.G. Kaburlasos, “A decision making approach with linguistic weight and unavoidable incomparable ranking”, International Journal of Computational Intelligence Systems, vol. 12, no. 2, pp. 1102-1112, 2019.

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