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

Georgios Papakostas

Expertise: Computer Vision & Machine Learning
Homepage

Theodoros Pachidis

Expertise: Robotics and Software Engineering

Michail Manios

Technical Staff
Homepage

Stamatis Chatzistamatis

Administrative Staff

Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN 2020, Glasgow, United Kingdom

V. G. Kaburlasos, E. Vrochidou, C. Lytridis, G. A. Papakostas, T. Pachidis, M. Manios, S. Mamalis, T. Merou, S. Koundouras, S. Theocharis, G. Siavalas, C. Sgouros, P. Kyriakidis, “Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206965.

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Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing – IS 2020, Varna, Bulgaria

E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing,” 2020 IEEE 10th International Conference on Intelligent Systems (IS), Varna, Bulgaria, 2020, pp. 171-177, doi: 10.1109/IS48319.2020.9199958.

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Presentation of the project ‘SRTSE’: Social Robots as Tools in Special Education – SENP 2021, Lausanne, Suisse

M. Papadopoulou, V. Choleva, V. A. Nikopoulou, P. Kechayas, G. A. Papakostas, C. Bazinas, C. I. Papadopoulou, V. Kaburlasos, A. Evangeliou, “Presentation of the project ‘SRTSE’: Social Robots as Tools in Special Education”, 48th Société Européenne de Neurologie Pédiatrique (SENP2021), Lausanne, Suisse, 18-20 March 2021 (accepted)

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Cyber-physical systems for pedagogical rehabilitation from an inclusive education perspective – Broad Research in Artificial Intelligence and Neuroscience 2020, 11(2Sup1), pp. 186-207

M. Dimitrova, S. Kostova, A. Lekova, E. Vrochidou, I. Chavdarov, A. Krastev, R. Bostova, A. Andreeva, V. Stancheva-Popokostadinova, L. Ozeata. “Cyber-physical systems for pedagogical rehabilitation from an inclusive education perspective”, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(2Sup1), pp. 186-207. https://doi.org/10.18662/brain/11.2Sup1/104 , 2020.

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Robotic Technology for Inclusive Education: A Cyber-Physical System Approach to Pedagogical Rehabilitation – CompSysTech 2020, University of Ruse, Bulgaria

Maya Dimitrova, Aleksandar Krastev, Roman Zahariev, Eleni Vrochidou, Christos Bazinas, Tsvete Yaneva, and Elena Blagoeva-Hazarbassanova. 2020. Robotic Technology for Inclusive Education: A Cyber-Physical System Approach to Pedagogical Rehabilitation. In Proceedings of the 21st International Conference on Computer Systems and Technologies ’20 (CompSysTech ’20). Association for Computing Machinery, New York, NY, USA, 293–299. DOI:https://doi.org/10.1145/3407982.3408019

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