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

Potentials for decision support in business processes through a multi-layer network embeddings approach, 32nd EURO Conference, Espoo, Finland, 2022

06/07/2022
humain
2022, Cybspeed, Publications

Abstract In a business process, we expect multiple related entities to interact. For example, in the Order-to-Cash process, one can observe the events that are recorded with respect to the orders, to the packages, or to the items that are included in the order. Each case notion carries only a part of the aspects of the overall situation, thus, reducing the process to a single case notion means to deliberately neglect certain facets of reality, and moreover, it conceals a major risk to present features of one…

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A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques – Agronomy, vol. 12, no. 7, 1564, 2022

29/06/2022
humain
2022, Journals, Publications, POGHAR

C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://doi.org/10.3390/agronomy12071564

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Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions – NAFIPS 2022 Conference, Halifax, Nova Scotia, Canada

12/06/2022
humain
2022, Publications, Tegea

V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May – 3 June 2022.

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The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems – the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 2022

19/05/2022
humain
2022, Cybspeed, Publications

V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 26. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems”, Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281/zenodo.6562355.

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