C. Lytridis Archives

Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture – Sustainability, vol. 15, no. 3, 2753, 2023

02/02/2023

2023, Journals, Publications, Tegea

E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, “Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture”, Sustainability, vol. 15, no. 3, 2753, 2023. https://doi.org/10.3390/su15032753

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C. Lytridis E. Karapatzak E. Tziolas I. Kalathas S. Koundouras S. Mamalis T. Pachidis V. G. Kaburlasos

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

23/11/2022

humain

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…

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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

humain

2022, Journals, Publications, SRTSE

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…

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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

humain

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…

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

Fuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest – FLINS 2022 on Machine learning, Multi agent and Cyber physical systems, Tianjin, China (Best Paper Award)

28/08/2022

humain

2022, Publications, Tegea

Abstract A sustainable production of high-quality agricultural products calls for personalized- rather than for massive- operations. The aforementioned (personalized) operations can be pursued by human-like reasoning applicable per case. The interest here is in agricultural grape robot harvest where a binary decision needs to be taken, given a set of ambiguous constraints represented by a Boolean lattice ontology of inequalities. Fuzzy lattice reasoning (FLR) is employed for decision making. Preliminary experimental results on expert data demonstrate the advantages of the…

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C. Lytridis G. Siavalas S. Theocharis T. Pachidis V. G. Kaburlasos