C. Bazinas Archives - Εργαστήριο ΑΜΑ

Coordinated navigation of two agricultural robots in a vineyard: A simulation study – Sensors, vol. 22, no. 23, 9095, 2022

23/11/2022

2022, Journals, Publications, Tegea

Abstract The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged in an agricultural task, this requires appropriate coordination strategies to be developed to ensure safe, effective, and efficient operation. This paper presents a simulation study that demonstrates a robust coordination strategy for the navigation of two heterogeneous robots, where one robot is the expert and the second robot is the helper in…

Δείτε περισσότερα από τους συγγραφείς:

C. Bazinas C. Lytridis T. Pachidis V. Chatzis V. G. Kaburlasos

Effectiveness of a robot-assisted psychological intervention for children with autism spectrum disorder – Journal of Autism and Developmental Disorders

04/11/2022

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2022, Journals, Publications, ΚοιΡο3Ε

Abstract Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a negative impact in their everyday life. Integrating a social-humanoid robot within the standard clinical treatment has been proven promising. The main aim of this randomised controlled study was to evaluate the effectiveness of a robot-assisted psychosocial intervention and the secondary aim was to investigate potential differences between a robot-assisted intervention group and a control group receiving intervention by humans only. The analysis of the results showed…

Δείτε περισσότερα από τους συγγραφείς:

A. Evangeliou C. Bazinas C. Karatsioras C. Lytridis G. A. Papakostas G. Sidiropoulos M. D. Kerasidou M. Papadopoulou N. Geronikola P. Kechayas V. A. Nikopoulou V. G. Kaburlasos V. Holeva

Social robots for pedagogical rehabilitation in special education for the elderly – V-RITA2022

22/10/2022

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2022, Cybspeed, Publications

Abstract Numerous studies have reported social robot applications for children including both typical and special education. Similar applications for the elderly are underplayed. However, children grow to adults and, ultimately, to elderly. This preliminary work, based on our expertise with social robot NAO in special education applications for children, reports an approach for engaging social robots for elderly with Alzheimer’s disease. In particular, a social robot, equipped with a variety of electronic sensors and supported by suitable mathematical models implemented in software, is engaged as a…

Δείτε περισσότερα από τους συγγραφείς:

C. Bazinas C. Lytridis G. Siavalas M. Tsolaki V. G. Kaburlasos

Considerations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards – HAICTA 2022, Athens, Greece

25/09/2022

humain

2022, Publications, Tegea

Abstract Seasonal labor shortages in agriculture are experienced throughout Europe and beyond especially, but not only, during the harvest time when the demand for hands is high as well as urgent. Agrobots have been established as a sustainable solution to support these growing demands due to their capacity to work incessantly, fast as well as with skillful precision. In the aforementioned context, this work investigates the design of a single multi-purpose robotic system towards automation of a number of skillful…

Δείτε περισσότερα από τους συγγραφείς:

C. Bazinas E. Mavridou E. Vrochidou S. Koundouras S. Mamalis T. Gkrimpizis T. Pachidis V. G. Kaburlasos

Variable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection – SoftCOM 2022, Split, Croatia

24/09/2022

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2022, Publications, Tegea

Abstract Wavenumbers of high absolute value of correlation coefficient to Total Soluble Solids (TSS), pH, or Titratable Acidity (TA) were selected from reflection Fourier transform near infrared (FT-NIR) spectra of intact grape berries of the white variety Thompson Seedless. Multiple linear regression (MLR) and partial least squares (PLS) regression were applied to the spectra to construct trained regression models able to predict TSS, pH, and TA. Square Pearson’s correlation coefficient (R2) and the Mean Square Error (MSE) were used to…

Δείτε περισσότερα από τους συγγραφείς:

A. J. Daniels C. Bazinas C. Chariskou H. H. Nieuwoudt U. L. Opara V. G. Kaburlasos