C. Lytridis

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

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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Efficacy of a Robot-Assisted Intervention in Improving Learning Performance of Elementary School Children with Specific Learning Disorders – Children 2022, 9(8), 1155

Abstract (1) Background: There has been significant recent interest in the potential role of social robots (SRs) in special education. Specific Learning Disorders (SpLDs) have a high prevalence in the student population, and early intervention with personalized special educational programs is crucial for optimal academic achievement. (2) Methods: We designed an intense special education intervention for children in the third and fourth years of elementary school with a diagnosis of a SpLD. Following confirmation of eligibility and informed consent, the…

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The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems – the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 2022

V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 26. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems”, Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281/zenodo.6562355.

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Social robots as tools in special education (the ‘SRTSE’ project): a randomized case-control study on robot-assisted therapy for children with Autism Spectrum Disorder (ASD) – EPNS 2022, Glasgow, Scotland, UK

M.T. Papadopoulou, V.A. Nikopoulou, V. Holeva, P. Kechayas, G.A. Papakostas, N. Geronikola, C. Bazinas, C. Lytridis, V. Kaburlasos, A. Evangeliou, “Social robots as tools in special education (the ‘SRTSE’ project): a randomized case-control study on robot-assisted therapy for children with Autism Spectrum Disorder (ASD)”, 14th European Paediatric Neurology Society (EPNS) Congress, Glasgow, Scotland, UK, 28 April – 2 May 2022, poster PO14-216.

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Towards Robot-Assisted Therapy for Children With Autism—The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms – Frontiers in Robotics and AI, 06 April 2022, vol. 9

I. Salhi, M. Qbadou, S. Gouraguine, K. Mansouri, C. Lytridis, V. Kaburlasos, “Towards robot-assisted therapy for children with autism – the ontological knowledge models and reinforcement learning-based algorithms”, Frontiers in Robotics and AI, 06 April 2022, vol. 9, Article 713964. doi: 10.3389/frobt.2022.713964 (Special Issue on Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives – Section “Biomedical Robotics”. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)

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