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.

Vassilis Kaburlasos

Expertise: Computational Intelligence
Homepage

Theodoros Pachidis

Expertise: Robotics and Software Engineering

Michail Manios

Technical Staff
Homepage

Online φαρμακείο Farmakeio Trikala με τις καλύτερες τιμές στην Ελλάδα.

Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots – Robotics 2023, 12(6), 147

Lytridis, C.; Bazinas, C.; Kalathas, I.; Siavalas, G.; Tsakmakis, C.; Spirantis, T.; Badeka, E.; Pachidis, T.; Kaburlasos, V.G. Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. Robotics 2023, 12, 147. https://doi.org/10.3390/robotics12060147

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A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7 – Sensors, vol. 23, no. 19, 8126, 2023

E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, “A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7”, Sensors, vol. 23, no. 19, 8126, 2023. https://doi.org/10.3390/s23198126 (Special Issue “Intelligent Sensing and Machine Vision in Precision Agriculture”. Guest Editors: Yuwei Wang, Liqing Chen, Peng Chen, Bolin Cai) https://www.mdpi.com/journal/sensors/special_issues/Z1SF644ZAW

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Unmanned aerial vehicles for agricultural automation – Book Chapter in Unmanned Aerial Systems in Agriculture: Eyes Above Fields

G. Siavalas, E. Vrochidou, V. G. Kaburlasos, “Unmanned aerial vehicles for agricultural automation”. In: Unmanned Aerial Systems in Agriculture: Eyes Above Fields, D. Bochtis, A. C. Tagarakis, D. Kateris (Eds.), chapter 6, pp. ?-?, August 11, 2023. Academic Press, Paperback ISBN: 9780323919401, eBook ISBN: 9780323914017

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An autonomous multi-agrobot design for skillful vinicultural tasks – OIV 2023, Cadiz, Spain

E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, “An autonomous multi-agrobot design for skillful vinicultural tasks”, 44th World Congress of Vine and Wine (Theme: Vitiviniculture and Information Technologies) and the 21th General Assembly of the International Organisation of Vine and Wine (OIV). Cadiz, Spain, 5-9 Jun 2023.

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