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

Generic distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS Environment and GPU Architecture – ISCV 2020, Fez, Morocco

M. Youssfi, O. Bouattane, V. Kaburlasos, G. Papakostas, “Generic distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS environment and GPU architecture”, 4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020), Fez, Morocco, 9-11 June 2020.

0
Read More

Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks – EANN 2020, Halkidiki, Greece

T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. “Semantic segmentation of vineyard images using convolutional neural networks”, 21st International Conference on Engineering Applications of Neural Networks (EANN 2020), Porto Carras Grand Resort, Halkidiki, Greece, 5-7 June, 2020. In: L. Iliadis, P. P. Angelov, C. Jayne, E. Pimenidis (Eds.): EANN 2020. Heidelberg, Germany: Springer Nature Switzerland AG 2020, series: Proceedings of the International Neural Networks Society (INNS), series editors: P. Angelov, R. Kozma, vol. 2, pp. 292-303, 2020. https://doi.org/10.1007/978-3-030-48791-1_22

0
Read More

The Lattice Computing (LC) Paradigm – CLA 2020, Tallinn, Estonia

V.G. Kaburlasos, invited speaker, “The Lattice Computing (LC) paradigm”. In: Francisco J. Valverde-Albacete, Martin Trnecka (Eds.), Proceedings of the 15th International Conference on Concept Lattices and their Applications (CLA 2020), Tallinn, Estonia, 29 June – 1 July 2020, pp. 1-8. Tallinn University of Technology, Estonia, ISBN: 978-9949-83-557-7.

0
Read More

View more from authors:


Enhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece – INSAR 2020, Seattle, Washington, USA

C. Dardani, V.G. Kaburlasos, A. Amanatiadis, “Enhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece”, Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, May 6-9 (scheduled), Seattle, Washington, USA, poster 448.012 uploaded June 3, 2020.

0
Read More

A feasibility study to evaluate the application of a robot-assisted ASD intervention in Greece – INSAR 2020, Seattle, Washington, USA

Kaburlasos, Vassilis, Vasiliki Holeva, Christina Dardani, Maria Papadopoulou, Petros Kechayas, Christos Lytridis, Christos Bazinas, and Vasiliki-Aliki Nikopoulou. “A Feasibility Study to Evaluate the Application of a Robot-Assisted ASD Intervention in Greece.” In INSAR 2020 Virtual Meeting. INSAR.

0
Read More