Welcome to the

HUman-MAchines INteraction Laboratory (HUMAIN-Lab)

Welcome to the

HUman-MAchines INteraction Laboratory (HUMAIN-Lab)

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.

Theodoros Pachidis

Expertise: Robotics and Software Engineering

Michail Manios

Technical Staff
Homepage

Lecture: Design of pedagogical assistant robots in a Cyber-physical framework: Challenges and perspectives.

Dr. Maya Dimitrova. Lecture Title: Design of pedagogical assistant robots in a Cyber-physical framework: Challenges and perspectives. 2017 April 24 – 28, “Erasmus+” visit     From the lecture From the business dinner

Dr. Maya Dimitrova. Lecture Title: Design of pedagogical assistant robots in a Cyber-physical framework: Challenges and perspectives. 2017 April 24 – 28, “Erasmus+” visit     From the lecture From the business dinner

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Interactive social robots in special education – ICCE 2017, Berlin, Germany

A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, “Interactive social robots in special education”, Proceedings of the 2017 IEEE 7th International Conference on Consumer Electronics – Berlin (ICCE-Berlin), Berlin, Germany, 3-6 September 2017, pp. 210-213.

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On Constructing Distance and Similarity Measures based on Fuzzy Implications – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.

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On Constructing Distance and Similarity Measures based on Fuzzy Implications – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.

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Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning – A Lattice Computing Approach – Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, GCSR vol. 6

Y. Liu, V.G. Kaburlasos, A.G. Hatzimichailidis, Y. Xu, Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning – A Lattice Computing Approach. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 23-42, 2016.

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