{"id":17,"date":"2024-06-13T10:34:42","date_gmt":"2024-06-13T10:34:42","guid":{"rendered":"http:\/\/localhost:8888\/humain\/?page_id=17"},"modified":"2024-12-21T11:29:15","modified_gmt":"2024-12-21T11:29:15","slug":"publications-2","status":"publish","type":"page","link":"http:\/\/humainlab.cs.duth.gr\/?page_id=17&lang=en","title":{"rendered":"Publications"},"content":{"rendered":"\t\t
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  1. Lytridis C, Pachidis T. Recent Advances in Agricultural Robots for Automated Weeding. AgriEngineering<\/em>. 2024; 6(3):3279-3296. https:\/\/doi.org\/10.3390\/agriengineering6030187<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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    1. 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.\u00a0Robotics\u00a02023,\u00a012, 147. https:\/\/doi.org\/10.3390\/robotics12060147<\/li>
    2. E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, \u201cA Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7\u201d, Sensors, vol. 23, no. 19, 8126, 2023. https:\/\/doi.org\/10.3390\/s23198126 (Special Issue \u201cIntelligent Sensing and Machine Vision in Precision Agriculture\u201d. Guest Editors: Yuwei Wang, Liqing Chen, Peng Chen, Bolin Cai) https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/Z1SF644ZAW<\/li>
    3. G. Siavalas, E. Vrochidou, V. G. Kaburlasos, \u201cUnmanned aerial vehicles for agricultural automation\u201d. 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<\/li>
    4. E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, \u201cAn autonomous multi-agrobot design for skillful vinicultural tasks\u201d, 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.<\/li>
    5. C. Bazinas, C. Lytridis, V. G. Kaburlasos, \u201cMeta-statistical deep learning for stochastic time-series prediction in agricultural applications\u201d, International Joint Conference on Neural Networks (IJCNN 2023). Gold Coast, Queensland, Australia, 18-23 June 2023. 2023 International Neural Network Society (INNS) Workshop on Deep Learning Innovations and Applications (DLIA)<\/li>
    6. V. G. Kaburlasos, C. Lytridis, G. Siavalas, V. N. Tsakalidou, C. Tsakmakis, I. Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas, \u201cSkilled Agricultural Task Delivery by a Digital Twin,\u201d 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 364-365, doi: 10.1109\/CAI54212.2023.00159.<\/li>
    7. Karampatea, E. Bouloumpasi, E. Karapatzak, S. Theocharis, T. Gkrimpizis, C. Karadimou, E. Tziolas, S. Pavlidis, S. Koundouras, S. Mamalis, C. Lytridis, T. Pachidis, V. G. Kaburlasos, \u201cTechnology-based regional wine development: A multi-purpose agrobot design for grape harvest automation\u201d, European Association of Wine Economists (EuAWE) 2023 Conference. Chania, Crete, Greece, 28-31 May 2023.<\/li>
    8. C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, E. Moschou, V. G. Kaburlasos, \u201cGrape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints\u201d, Sustainability, vol. 15, no. 9, 7331, 2023. https:\/\/doi.org\/10.3390\/su15097331 (Special Issue Computational Intelligence for Sustainability. Guest Editors: Zhebin Xue, Xianyi Zeng) https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/Computational_IntelligenceSustainability<\/li>
    9. E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, \u201cAssessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices\u201d, Sustainability, vol. 15, no. 4, 3866, 2023. https:\/\/www.mdpi.com\/2071-1050\/15\/4\/3866\u00a0<\/li>
    10. E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, \u201cComparative assessment of environmental\/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture\u201d, Sustainability, vol. 15, no. 3, 2753, 2023. https:\/\/doi.org\/10.3390\/su15032753\u00a0<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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      1. M. Youssfi, F. Ezzahra Ezzrhari, Y. Hajoui, O. Bouattane, V. Kaburlasos, \u201cMulti-micro-agent system middleware model based on event sourcing and CQRS patterns\u201d. In: Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications<\/i>, A. Boulmakoul, L. Karim, B. Bhushan (Eds.), chapter 2, pp. 25-46, 2022. CRC Press, Taylor & Francis Group: Florida, USA. eBook ISBN 9781003255635, DOI: 10.1201\/9781003255635-2<\/li>
      2. C. Lytridis, C. Bazinas, T. Pachidis, V. Chatzis, V. G. Kaburlasos, \u201cCoordinated navigation of two agricultural robots in a vineyard: A simulation study\u201d, Sensors<\/i>, vol. 22, no. 23, 9095, 2022. <\/span>https:\/\/doi.org\/10.3390\/s22239095<\/span><\/a> (Special Issue on Computational Intelligence and Cyberphysical Systems in Sensing<\/i>. <\/span>https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/S5WO1ME30T<\/span><\/a>\u00a0 Guest Editor: Manuel Gra\u00f1a<\/span>)<\/span><\/li>
      3. V. Holeva, V. A. Nikopoulou, C. Lytridis, C. Bazinas, P. Kechayas, G. Sidiropoulos, M. Papadopoulou, M. D. Kerasidou, C. Karatsioras, N. Geronikola, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou<\/span>, \u201cEffectiveness of a robot-assisted psychological intervention for children with autism spectrum disorder\u201d, Journal of Autism and Developmental Disorders<\/i>, Published online: 04 November 2022, <\/span>https:\/\/doi.org\/10.1007\/s10803-022-05796-5<\/span><\/a><\/li>
      4. M. Tsolaki, V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. Siavalas<\/span>, <\/span>\u201c<\/span>Social robots for pedagogical rehabilitation in special education for the elderly<\/span>\u201d, 2nd Edition of Robot Intelligence Technology and Applications 2022 (V-RITA2022)<\/i>, Theme \u201cModification of Lifestyle by Innovation in Robot Intelligence Technology and Applications\u201d, 21-22 October 2022.<\/span><\/li>
      5. E. Vrochidou, C. Bazinas, E. Mavridou, T. Pachidis, S. Mamalis, S. Koundouras, T. Gkrimpizis, V. G. Kaburlasos, \u201cConsiderations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards\u201d, 10th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2022)<\/i>, Athens, Greece, 22-25 September 2022, pp. 45-51. <\/span>https:\/\/ceur-ws.org\/Vol-3293\/<\/span><\/a> (Open Access). Proceedings ebook: <\/span>https:\/\/www.haicta.gr\/ebooks.html<\/span><\/a><\/li>
      6. C. Chariskou, C. Bazinas, A. J. Daniels, U. L. Opara, H. H. Nieuwoudt, V. G. Kaburlasos, \u201cVariable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection\u201d, 30th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2022)<\/em>, Split, Croatia, 22-24 September 2022.<\/li>
      7. C. Chariskou, E. Vrochidou, A. J. Daniels, V. G. Kaburlasos, \u201cVariable selection on reflectance NIR spectra for the prediction of TSS in intact berries of Thompson seedless grapes\u201d, Agronomy<\/i>, vol. 12, no. 9, 2113. <\/span>https:\/\/doi.org\/10.3390\/agronomy12092113<\/a><\/li>
      8. V. G. Kaburlasos, C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis<\/span>, <\/span>\u201c<\/span>Fuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest<\/span>\u201d,<\/span> In: <\/span>Qinglin Sun, Jie Lu, Xianyi Zeng, Etienne E. Kerre, Tianrui Li (Eds.)<\/span>, Proceedings of the<\/i> <\/span>15th<\/sup> International FLINS (Fuzzy Logic and Intelligent Technologies in Nuclear Science) Conference (FLINS 2022) on Machine Learning, Multi Agent and Cyber Physical Systems<\/span><\/i>, Tianjin, China, 26-28 August 2022. World Scientific Proceedings Series on Computer Engineering and Information Science 13, pp. 80-87. (Best Paper Award<\/a>)<\/span>. https<\/span>:\/\/www<\/span>.worldscientific<\/span>.com<\/span>\/worldscibooks<\/span>\/10.1142\/13231#t<\/span>=toc<\/span><\/a><\/li>
      9. E. Vrochidou, V. N. Tsakalidou, I. Kalathas, T. Gkrimpizis, T. Pachidis, V. G. Kaburlasos, \u201cAn overview of end-effectors in agricultural robotic harvesting systems\u201d, Agriculture<\/em>, vol. 12, iss. 8, 1240, 2022. https:\/\/doi.org\/10.3390\/agriculture12081240<\/a><\/li>
      10. V. G. Kaburlasos, \u201cRobot intelligence technology for skillful viniculture based on the lattice computing paradigm\u201d, International Meet & Expo on Robot Intelligence Technology and Applications<\/i> (ROBOTMEET2022<\/i>), Edinburgh, Scotland, 18-20 August 2022.<\/li>
      11. K. D. Apostolidis, T. Kalampokas, T. P. Pachidis, V. G. Kaburlasos, \u201cGrapevine plant image dataset for pruning\u201d, Data<\/em>, vol. 7, iss. 8, 110, 2022. https:\/\/doi.org\/10.3390\/data7080110<\/a><\/li>
      12. M. T. Papadopoulou, E. Karageorgiou, P. Kechayas, N. Geronikola, C. Lytridis, C. Bazinas, E. Kourampa, E. Avramidou, V. G. Kaburlasos, A. E. Evangeliou, \u201cEfficacy of a Robot-Assisted Intervention in Improving Learning Performance of Elementary School Children with Specific Learning Disorders\u201d, Children<\/i>, vol. 9, iss. 8, 1155.<\/li>
      13. P. Delias, L. Moussiades, V. G. Kaburlasos, \u201cPotentials for decision support in business processes through a multi-layer network embeddings approach\u201d, 32nd EURO Conference<\/i>, Espoo, Finland, 3-6 July 2022, p. 191.<\/li>
      14. C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, \u201cA non-destructive method for grape ripeness estimation using Intervals\u2019 Numbers (INs) techniques\u201d, Agronomy, vol. 12, no. 7, 1564, 2022. https:\/\/doi.org\/10.3390\/agronomy12071564<\/li>
      15. V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, \u201cAgricultural yield prediction by difference equations on data-induced cumulative possibility distributions\u201d, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May \u2013 3 June 2022.<\/li>
      16. V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, \u201cChapter 26. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems\u201d, 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.<\/li>
      17. M.T. Papadopoulou, V.A. Nikopoulou, V. Holeva, P. Kechayas, G.A. Papakostas, N. Geronikola, C. Bazinas, C. Lytridis, V. Kaburlasos, A. Evangeliou, \u201cSocial robots as tools in special education (the \u2018SRTSE\u2019 project): a randomized case-control study on robot-assisted therapy for children with Autism Spectrum Disorder (ASD)\u201d, 14th European Paediatric Neurology Society (EPNS) Congress, Glasgow, Scotland, UK, 28 April \u2013 2 May 2022, poster PO14-216.<\/li>
      18. I. Salhi, M. Qbadou, S. Gouraguine, K. Mansouri, C. Lytridis, V. Kaburlasos, \u201cTowards robot-assisted therapy for children with autism \u2013 the ontological knowledge models and reinforcement learning-based algorithms\u201d, 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 \u2013 Section \u201cBiomedical Robotics\u201d. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)<\/li>
      19. M. Papadopoulou, V. Choleva, V. A. Nikopoulou, P. Kechayas, G. A. Papakostas, C. Bazinas, C. I. Papadopoulou, V. Kaburlasos, A. Evangeliou, \u201cPresentation of the project \u2018SRTSE\u2019: social robots as tools in special education\u201d, 48th Soci\u00e9t\u00e9 Europ\u00e9enne de Neurologie P\u00e9diatrique (SENP), Lausanne, Suisse, 17-19 March 2022.<\/li>
      20. V. A. Nikopoulou, V. Holeva, P. Tatsiopoulou, V. G. Kaburlasos, A. E. Evangeliou, \u201cA pediatric patient with autism spectrum disorder and comorbid compulsive behaviors treated with robot-assisted relaxation: a case report\u201d, Cureus 14(2):e22409. doi:10.7759\/cureus.22409<\/li>
      21. Lytridis, C.; Kaburlasos, V.G.; Bazinas, C.; Papakostas, G.A.; Sidiropoulos, G.; Nikopoulou, V.-A.; Holeva, V.; Papadopoulou, M.; Evangeliou, A. Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.\u00a0Sensors\u00a02022,\u00a022, 621. https:\/\/doi.org\/10.3390\/s22020621<\/li>
      22. Kaburlasos, V.G. Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications.\u00a0Mathematics\u00a02022,\u00a010, 271. https:\/\/doi.org\/10.3390\/math10020271<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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        1. Christos Bazinas, Eleni Vrochidou, Chris Lytridis, and Vassilis G. Kaburlasos. 2021. Yield Estimation in Vineyards Using Intervals\u2019 Numbers Techniques. In 25th Pan-Hellenic Conference on Informatics (PCI 2021). Association for Computing Machinery, New York, NY, USA, 454\u2013459. DOI:https:\/\/doi.org\/10.1145\/3503823.3503906<\/li>
        2. V. G. Kaburlasos, C. Lytridis, E. Vrochidou, C. Bazinas, G. A. Papakostas, A. Lekova, O. Bouattane, M. Youssfi, T. Hashimoto, \u201cGranule-based-classifier (GbC): a lattice computing scheme applied on tree data structures\u201d, Mathematics, vol. 9, no. 22, 2889, 2021. https:\/\/www.mdpi.com\/2227-7390\/9\/22\/2889 (Special Issue on Lattice Computing: A Mathematical Modelling Paradigm for Cyber\u2013Physical System Applications \u2013 Section \u201cComputational and Applied Mathematics\u201d. Guest Editor: Vassilis G. Kaburlasos)<\/li>
        3. E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cA review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation\u201d, 13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference, 25-26 May 2021. In: MDPI Engineering Proceedings 2021, 9 (1), 2; https:\/\/www.mdpi.com\/2673-4591\/9\/1\/2<\/li>
        4. C. Lytridis, V. G. Kaburlasos, C. Bazinas, G. A. Papakostas, C. I. Papadopoulou, V. A. Nikopoulou, \u201cA software toolbox for behavioral analysis in robot-assisted special education\u201d, 29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021), Hvar, Croatia, 23-25 September 2021.<\/li>
        5. C. Lytridis, V. G. Kaburlasos, T. Pachidis, M. Manios, E. Vrochidou, T. Kalampokas, S. Chatzistamatis, \u201cAn overview of cooperative robotics in agriculture\u201d, Agronomy 2021, vol. 11, iss. 9, 1818; https:\/\/www.mdpi.com\/2073-4395\/11\/9\/1818 (Open Access). (Special Issue on \u201cWorldwide Trends in Agronomy Research: Bibliometric Studies\u201d. Guest Editors: Prof. Dr. Francisco Manzano Agugliaro, Dr. Esther Salmer\u00f3n-Manzano)<\/li>
        6. E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, \u201cMachine vision for ripeness estimation in viticulture automation\u201d, Horticulturae, vol. 7, iss. 9, 282; https:\/\/www.mdpi.com\/2311-7524\/7\/9\/282 (Open Access). (Special Issue on \u201cAdvances in Viticulture Production\u201d. Guest Editor: Massimo Bertamini)<\/li>
        7. M. Dimitrova, H. Wagatsuma, A. Krastev, E. Vrochidou, J. D. Nunez-Gonzalez, \u201cA Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education\u201d, Frontiers in Robotics and AI, 31 August 2021. https:\/\/www.frontiersin.org\/articles\/10.3389\/frobt.2021.715962\/full (Section Biomedical Robotics \u2013 Research Topic Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)<\/li>
        8. N. S. T. Hirata and G. A. Papakostas, \u201cOn Machine-Learning Morphological Image Operators,\u201d Mathematics, vol. 9, no. 16, p. 1854, Aug. 2021.<\/li>
        9. V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, \u201cRobot-assisted relaxation training for children with autism spectrum disorders\u201d, World Academy of Science, Engineering and Technology (WASET) International Journal of Psychological and Behavioral Sciences, International Scholarly and Scientific Research & Innovation, vol. 15, no. 8, pp. 711-714, August 2021. https:\/\/publications.waset.org\/vol\/176 (Open Access)<\/li>
        10. Bazinas, C.; Vrochidou, E.; Lytridis, C.; Kaburlasos, V.G. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals\u2019 Numbers Approach.\u00a0Eng. Proc.\u00a02021,\u00a05, 12. https:\/\/doi.org\/10.3390\/engproc20210050012<\/li>
        11. G. A. Papakostas, G. K. Sidiropoulos, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, P. Kechayas, M. T. Papadopoulou, \u201cEstimating children engagement interacting with robots in special education using machine learning\u201d, Mathematical Problems in Engineering, Special Issue on \u201cRecent Trends in Advance Robotic Systems\u201d, vol. 2021, Article ID 9955212, https:\/\/doi.org\/10.1155\/2021\/9955212<\/li>
        12. G. A. Papakostas, G. K. Sidiropoulos, C. I. Papadopoulou, E. Vrochidou, V. G. Kaburlasos, M. T. Papadopoulou, V. Holeva, V.-A. Nikopoulou, N. Dalivigkas, \u201cSocial robots in special education: a systematic review\u201d. Electronics. 2021, 10 (12), 1398; https:\/\/doi.org\/10.3390\/electronics10121398 (Special Issue on Recent Advances in Educational Robotics \u2013 Section \u201cArtificial Intelligence\u201d. Guest Editors: Savvas A. Chatzichristofis and Zinon Zinonos)<\/li>
        13. E. Karageorgiou, E. Kourampa, A.-T. Papanikolaou, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Avramidou, \u201cDevelopment of educational scenarios for child-robot interaction: The case of learning disabilities\u201d, 12th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 28 \u2013 30 April 2021.<\/li>
        14. \u03a4. Kalampokas, \u0395. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, \u201cGrape stem detection using regression convolutional neural networks,\u201d Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016\/j.compag.2021.106220.<\/li>
        15. Vrochidou, E.; Lytridis, C.; Bazinas, C.; Papakostas, G.A.; Wagatsuma, H.; Kaburlasos, V.G. Brain Signals Classification Based on Fuzzy Lattice Reasoning.\u00a0Mathematics\u00a02021,\u00a09, 1063. https:\/\/doi.org\/10.3390\/math9091063<\/li>
        16. V. Holeva, P. Kechayas, V.A. Nikopoulou, M. Kerasidou, M. Papadopoulou, C. Bazinas, C. Lytridis, V.G. Kaburlasos, A. Evangeliou, \u201cThe effects of a robot-assisted intervention for children with autism spectrum disorder on affect recognition and theory of mind\u201d, Proceedings of the International Society for Autism Research (INSAR) 2021 Annual Meeting, May 5-8, Boston, MA, USA, poster ID \u2013 37057.<\/li>
        17. E. Vrochidou, K. Tziridis, A. Nikolaou, T. Kalampokas, G. A. Papakostas, T. P. Pachidis, S. Mamalis, S. Koundouras, V G. Kaburlasos, \u201cAn autonomous grape-harvester robot: integrated system architecture\u201d, Electronics 2021, 10(9), 1056; https:\/\/doi.org\/10.3390\/electronics10091056 (Special Issue on Control of Mobile Robots \u2013 Section \u201cSystems & Control Engineering\u201d. Guest Editor: Vladan Papic).<\/li>
        18. E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, \u201cVision-based vineyard trunk detection and its integration into a grapes harvesting robot\u201d, International Journal of Mechanical Engineering and Robotics Research (IJMERR), vol. 10, no. 7, pp. 374-385, July 2021.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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          \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2020<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
          1. M. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, \u201cTowards social cognitive neuropsychology account of human-robot interaction\u201d, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August \u2013 01 September 2018, pp. 12-16<\/li>
          2. G. Sidiropoulos, G.A. Papakostas, C. Lytridis, C. Bazinas, V. Kaburlasos, E. Kourampa, E. Karageorgiou, \u201cMeasuring Engagment Level in Child-Robot Interaction Using Machine Learning Based Data Analysis,\u201d International Conference on Data Analytics for Business and Industry, 26-27 October 2020, Kingdom of Bahrain.<\/li>
          3. J. Musi\u0107, M. Bonkovi\u0107, S. Kru\u017ei\u0107, T. Marasovi\u0107, V. Papi\u0107, S. Kostova, M. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, G. Papakostas, T. Pachidis, \u201cRobotics and information technologies in education: four countries from Alpe-Adria-Danube Region survey\u201d, International Journal of Technology and Design Education. Springer Nature B.V. 2020, published online: 13 October 2020, DOI: 10.1007\/s10798-020-09631-9<\/li>
          4. E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, Real-time Vineyard Trunk Detection for a Grapes Harvesting Robot via Deep Learning, 13th International Conference on Machine Vision (ICMV 2020), Rome, Italy, November 02-06, 2020<\/li>
          5. E. Bouloumpasi, S. Theocharis, A. Karampatea, S. Pavlidis, S. Mamalis, S. Koundouras, T. Merou, E. Vrochidou, T. Pachidis, M. Manios, G. Papakostas, V. Kaburlasos, \u201cExploration of viticultural tasks to be performed by autonomous robot: possibilities and limitations\u201d, Proceedings of the 11th International Scientific Agriculture Symposium (AGROSYM 2020), Jahorina, Bosnia and Herzegovina, 8-11 October 2020, pp.56-61.<\/li>
          6. Tziridis, K., Nikolaou, A., Kalampokas, T., Vrochidou, E., Pachidis, T., Papakostas, G. A., & Kaburlasos, V. G. (2021). Information management and monitoring system for a grapes harvesting robot. In IOP Conference Series: Materials Science and Engineering (Vol. 1032, No. 1, p. 012051). IOP Publishing.<\/li>
          7. 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, \u201cToward Big Data Manipulation for Grape Harvest Time Prediction by Intervals\u2019 Numbers Techniques,\u201d 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109\/IJCNN48605.2020.9206965.<\/li>
          8. E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cNavigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing,\u201d 2020 IEEE 10th International Conference on Intelligent Systems (IS), Varna, Bulgaria, 2020, pp. 171-177, doi: 10.1109\/IS48319.2020.9199958.<\/li>
          9. M. Dimitrova, S. Kostova, A. Lekova, E. Vrochidou, I. Chavdarov, A. Krastev, R. Bostova, A. Andreeva, V. Stancheva-Popokostadinova, L. Ozeata. \u201cCyber-physical systems for pedagogical rehabilitation from an inclusive education perspective\u201d, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(2Sup1), pp. 186-207. https:\/\/doi.org\/10.18662\/brain\/11.2Sup1\/104 , 2020.<\/li>
          10. 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 \u201920 (CompSysTech \u201920). Association for Computing Machinery, New York, NY, USA, 293\u2013299. DOI:https:\/\/doi.org\/10.1145\/3407982.3408019<\/li>
          11. V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. A. Papakostas, A. Naji, M. Hicham Zaggaf, K. Mansouri, M. Qbadou, M. Mestari, \u201cStructured human-head pose representation for estimation using fuzzy lattice reasoning (FLR)\u201d, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020<\/li>
          12. Kaburlasos, V.G., Lytridis, C., Bazinas, C., Chatzistamatis, S., Sotiropoulou, K., Najoua, A., Youssfi, M., Bouattane, O.: Head Pose Estimation Using Lattice Computing Techniques. In: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). pp. 1\u20135 (2020). https:\/\/doi.org\/10.23919\/SoftCOM50211.2020.9238315.<\/li>
          13. E. Vrochidou, T. Pachidis, M. Manios, G. A. Papakostas, V. G. Kaburlasos, S. Theocharis, S. Koundouras, K. Karabatea, E. Bouloumpasi, S. Pavlidis, S. Mamalis, T. Merou. \u201cIdentifying the technological needs for developing a grapes harvesting robot: operations and systems\u201d, 9th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2020). Thessaloniki, Greece, 24-27 September 2020, pp. 105-113. http:\/\/ceur-ws.org\/Vol-2761\/ (Open Access)<\/li>
          14. T. Pachidis, C. Sgouros, V. G. Kaburlasos, E. Vrochidou, T. Kalampokas, K. Tziridis, A. Nikolaou, G. A. Papakostas, \u201cForward Kinematic Analysis of JACO2 Robotic Arm Towards Implementing a Grapes Harvesting Robot,\u201d\u00a02020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Hvar, Croatia, 2020, pp. 1-6, doi: 10.23919\/SoftCOM50211.2020.9238297.<\/li>
          15. Lytridis, C., Papadopoulou, C.I., Papakostas, G.A., Kaburlasos, V.G., Nikopoulou, V.A., Kerasidou, M.D., Dalivigkas, N.: Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. In: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). pp. 1\u20134 (2020). https:\/\/doi.org\/10.23919\/SoftCOM50211.2020.9238273.<\/li>
          16. A. Fentis, C. Lytridis, V. G. Kaburlasos, E. Vrochidou, T. Pachidis, E. Bahatti, M. Mestari, \u201cA machine learning based approach for next-day photovoltaic power forecasting\u201d, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020<\/li>
          17. E. Badeka, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cHarvest crate detection for grapes harvesting robot based on YOLOv3 model\u201d, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020<\/li>
          18. R. Efstratiou, H. Karatsioras, M. Papadopoulou, C. Papadopoulou, C. Lytridis, C. Bazinas, G. A. Papakostas, V. G. Kaburlasos, \u201cTeaching daily life skills in Autism Spectrum Disorder (ASD) interventions using the social robot Pepper\u201d, 11th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 30 September \u2013 2 October 2020<\/li>
          19. G. K. Sidiropoulos, C. Bazinas, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Kourampa, S.-R. Katsi, H. Karatsioras, \u201cSynergy of intelligent algorithms for efficient child-robot interaction in special education: a feasibility study\u201d, 11th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 30 September \u2013 2 October 2020<\/li>
          20. M. Qbadou, I. Salhi, H. El Fazazi, K. Mansouri, M. Manios, V. Kaburlasos, \u201cHuman-robot multilingual verbal communication \u2013 the ontological knowledge and learning-based models\u201d, Advances in Science, Technology and Engineering Systems (ASTES) Journal, vol. 5, no. 4, pp. 540-547, 2020.<\/li>
          21. V.-A. Nikopoulou, V. Holeva, M. D. Kerasidou, P. Kechayas, M. Papadopoulou, E. Vrochidou, G. A. Papakostas, V. G. Kaburlasos, \u201cIdentifying linguistic cues; towards developing robots with empathy in autism interventions\u201d, Journal of Clinical Medicine of Kazakhstan, vol. 2, no. 56, pp. 27-33, 2020. DOI: 10.23950\/1812-2892-JCMK-00753<\/li>
          22. Lytridis C, Bazinas C, Sidiropoulos G, Papakostas GA, Kaburlasos VG, Nikopoulou V-A, Holeva V, Evangeliou A. Distance Special Education Delivery by Social Robots.\u00a0Electronics. 2020; 9(6):1034.<\/li>
          23. F. Ezzahra Ezzrhari, H. Bensag, M. Youssfi, O. Bouattane, V. Kaburlasos, \u201cScalable multi agent system middleware for HPC of big data applications\u201d, 4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020), Fez, Morocco, 9-11 June 2020.<\/li>
          24. M. Youssfi, O. Bouattane, V. Kaburlasos, G. Papakostas, \u201cGeneric distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS environment and GPU architecture\u201d, 4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020), Fez, Morocco, 9-11 June 2020.<\/li>
          25. T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. \u201cSemantic segmentation of vineyard images using convolutional neural networks\u201d, 21st International Conference on Engineering Applications of Neural Networks (EANN 2020), Porto Carras Grand Resort, Halkidiki, Greece, 5-7 June, 2020. In: L. Iliadis, P. P. Angelov, C. Jayne, E. Pimenidis (Eds.): EANN 2020. Heidelberg, Germany: Springer Nature Switzerland AG 2020, series: Proceedings of the International Neural Networks Society (INNS), series editors: P. Angelov, R. Kozma, vol. 2, pp. 292-303, 2020. https:\/\/doi.org\/10.1007\/978-3-030-48791-1_22<\/li>
          26. V.G. Kaburlasos, invited speaker, \u201cThe Lattice Computing (LC) paradigm\u201d. In: Francisco J. Valverde-Albacete, Martin Trnecka (Eds.), Proceedings of the 15th International Conference on Concept Lattices and their Applications (CLA 2020), Tallinn, Estonia, 29 June \u2013 1 July 2020, pp. 1-8. Tallinn University of Technology, Estonia, ISBN: 978-9949-83-557-7.<\/li>
          27. C. Dardani, V.G. Kaburlasos, A. Amanatiadis, \u201cEnhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece\u201d, Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, May 6-9 (scheduled), Seattle, Washington, USA, poster 448.012 uploaded June 3, 2020.<\/li>
          28. Kaburlasos, Vassilis, Vasiliki Holeva, Christina Dardani, Maria Papadopoulou, Petros Kechayas, Christos Lytridis, Christos Bazinas, and Vasiliki-Aliki Nikopoulou. \u201cA Feasibility Study to Evaluate the Application of a Robot-Assisted ASD Intervention in Greece.\u201d In INSAR 2020 Virtual Meeting. INSAR.<\/li>
          29. A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, A. Mitropoulos, \u201cSocial robots in special education: creating dynamic interactions for optimal experience\u201d, IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 39-45, May 2020. doi:10.1109\/MCE.2019.2956218<\/li>
          30. Lytridis, C., Lekova, A., Bazinas, C., Manios, M., Kaburlasos, V.G.: WINkNN: Windowed Intervals\u2019 Number kNN Classifier for Efficient Time-Series Applications. Mathematics. 8, 413 (2020). https:\/\/doi.org\/10.3390\/math8030413.<\/li>
          31. \u039c. \u03a0\u03b1\u03c0\u03b1\u03b4\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u0392. \u03a7\u03bf\u03bb\u03ad\u03b2\u03b1, \u0392.\u0391. \u039d\u03b9\u03ba\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u03a0. \u039a\u03b5\u03c7\u03b1\u03b3\u03b9\u03ac\u03c2, \u0393.\u0391. \u03a0\u03b1\u03c0\u03b1\u03ba\u03ce\u03c3\u03c4\u03b1\u03c2 \u03a7. \u039c\u03c0\u03b1\u03b6\u03af\u03bd\u03b1\u03c2, \u03a7.\u0399. \u03a0\u03b1\u03c0\u03b1\u03b4\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u0391. \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03bf\u03c5, \u201c\u03a0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u2018\u039a\u03bf\u03b9\u03a1\u03bf3\u0395\u2019: \u039a\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03ac \u03a1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03c9\u03c2 \u0395\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u0395\u03b9\u03b4\u03b9\u03ba\u03ae \u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u201d, \u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03ae\u03bd\u03b9\u03bf \u03a0\u03b1\u03b9\u03b4\u03bf\u03bd\u03b5\u03c5\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03a3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf, \u039b\u03af\u03bc\u03bd\u03b7 \u03a0\u03bb\u03b1\u03c3\u03c4\u03ae\u03c1\u03b1, \u039a\u03b1\u03c1\u03b4\u03af\u03c4\u03c3\u03b1, 7-8 \u039c\u03b1\u03c1\u03c4\u03af\u03bf\u03c5 2020. \u0392\u03b9\u03b2\u03bb\u03af\u03bf \u03a0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03c9\u03bd, \u03c3\u03b5\u03bb. 14.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
            \n\t\t\t\t\t
            \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2019<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
            1. V. Holeva, V.-A. Nikopoulou, M. Papadopoulou, E. Vrochidou, G. A. Papakostas, V. G. Kaburlasos, \u201cToward robot-assisted psychosocial intervention for children with autism spectrum disorder (ASD)\u201d, Proceedings of the 11th International Conference on Social Robotics (ICSR 2019), Madrid, Spain, 26-29 November 2019. In: M. A. Salichs, S. S. Ge, E. Barakova, J-.J. Cabibihan, A. R. Wagner, \u00c1. Castro-Gonz\u00e1lez, H. He (Eds.): ICSR 2019. Springer Nature Switzerland AG 2019, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 11876, pp. 484-493, 2019. https:\/\/doi.org\/10.1007\/978-3-030-35888-4<\/li>
            2. E.V. Badeka, T. Kalampokas, K. Tziridis, A.P. Nikolaou, E. Vrochidou, E. Mavridou, G.A. Papakostas and T. Pachidis, \u201cGrapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors\u201d. In 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, pp. 98\u2013109, 2019.<\/li>
            3. E. Mavridou, E. Vrochidou, G. A. Papakostas, T. Pachidis and V. G. Kaburlasos, \u201cMachine vision Systems in Precision Agriculture for Crop Farming\u201d, Journal of Imaging, DOI: 10.3390\/jimaging5120089, 2019<\/li>
            4. A. Jaafar, Y. Illoussamen, E. Vrochidou, T. Pachidis. V. G. Kaburlasos, M. Mestari, \u201cMulti-agent parallel implementation to solve nonlinear equality constrained multiobjective optimization problem \u2013 Case of unmanned aerial vehicle (UAV)\u201d, Proceedings of the 3rd International Conference on Intelligent Computing\u00a0in\u00a0Data Sciences (ICDS 2019), Marrakech, Morocco, 28-30 October 2019<\/li>
            5. Y. Zhang, D. Huang, W. Gao, V.G. Kaburlasos, \u201cA decision making approach with linguistic weight and unavoidable incomparable ranking\u201d, International Journal of Computational Intelligence Systems, vol. 12, no. 2, pp. 1102-1112, 2019.<\/li>
            6. C. Lytridis, V. Vassileva-Aleksandrova, M. Youssfi, C. Bazinas, V. Ferelis, A. Jaki, M. Mestari, V. G. Kaburlasos, \u201cSocial\u00a0robots\u00a0as\u00a0cyber-physical\u00a0actors\u00a0in\u00a0entertainment\u00a0and\u00a0education\u201d, Proceedings of the 27th International Conference on Software, Telecommunications\u00a0and\u00a0Computer Networks (SoftCOM 2019), Symposium on: Robotic\u00a0and\u00a0ICT Assisted Wellbeing, Split, Croatia, 19-21 September 2019.<\/li>
            7. Lytridis, C., Vrochidou, E., Sidiropoulos, G., Papakostas, G.A., Kaburlasos, V.G., Kourampa, E., Karageorgiou, E.: Audio Signal Recognition Based on Internals\u2019 Numbers (INs) Classification Techniques. In: 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019). Patras, Greece (2019).<\/li>
            8. V. Kaburlasos, E. Vrochidou, \u201cSocial robots for pedagogical rehabilitation: trends and novel modeling principles\u201d. In: Cyber-Physical Systems for Social Applications, M. Dimitrova & H. Wagatsuma (Eds.), pp. 1-21, 2019. Pennsylvania, USA. ISBN13: 9781522578796, DOI: 10.4018\/978-1-5225-7879-6<\/li>
            9. Kaburlasos, V.G., Vrochidou, E., Panagiotopoulos, F., Aitsidis, C., Jaki, A.: Time series classification in cyber-physical system applications by intervals\u2019 numbers techniques. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019). pp. 125\u2013130, New Orleans, Louisiana, USA (2019).<\/li>
            10. T. Pachidis, E. Vrochidou, C.I. Papadopoulou, V.G. Kaburlasos, S. Kostova, M. Bonkovi\u0107 and V. Papi\u0107, \u201cIntegrating Robotics in Education and Vice Versa; Shifting from Blackboard to Keyboard\u201d, International Journal of Mechanics and Control, ISSN: 1590-8844, Vol. 20, No. 01, June 2019, pp. 53-69.<\/li>
            11. C. Lytridis, C. Bazinas, G. A. Papakostas, V. Kaburlasos, \u201cOn measuring engagement level during child-robot interaction in education\u201d, Proceedings of the 10th International Conference on Robotics in Education (RiE), Vienna, Austria, 10-12 April 2019, pp. 3-13.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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              \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2018<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
              1. A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, \u201cInterpolation kernels in fully convolutional networks and their effect in robot vision tasks\u201d, Proceedings of the 2018 IEEE International Workshop on Imaging Systems & Techniques (IST 2018), Krak\u00f3w, Poland, 16-18 October 2018, pp. 232-236.<\/li>
              2. A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, \u201cUnderstanding deep convolutional networks through gestalt theory\u201d, Proceedings of the 2018 IEEE International Workshop on Imaging Systems & Techniques (IST 2018), Krak\u00f3w, Poland, 16-18 October 2018, pp. 312-317.<\/li>
              3. S. Kostova, M. I. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, M. Bonkovi\u0107, T. Pachidis, S. Kru\u017ei\u0107, T. Marasovi\u0107, J. Musi\u0107, V. Papi\u0107, \u201cIdentifying needs of robotic and technological solutions for the classroom\u201d, Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing, Split, Croatia, 13-15 September 2018.<\/li>
              4. G. A. Papakostas, A. K. Strolis, F. Panagiotopoulos, C. N. Aitsidis, \u201cSocial robot selection: a case study in education\u201d, Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing, Split, Croatia, 13-15 September 2018.<\/li>
              5. E. Vrochidou, M. Manios, G. A. Papakostas, C. N. Aitsidis, F. Panagiotopoulos, \u201cOpen-source robotics: investigation on existing platforms and their application in education\u201d, Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing, Split, Croatia, 13-15 September 2018<\/li>
              6. E. Vrochidou, A. Najoua, C. Lytridis, M. Salonidis, V. Ferelis, G. Papakostas, \u201cSocial robot NAO as a self-regulating didactic mediator: a case study of teaching\/learning numeracy\u201d, Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing, Split, Croatia, 13-15 September 2018<\/li>
              7. L. Moussiades, C. Kiourt, S. Papadimitriou, \u201cTowards a robot assistant in vocabulary learning\u201d, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August \u2013 01 September 2018, pp. 32-45<\/li>
              8. M. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, \u201cTowards social cognitive neuropsychology account of human-robot interaction\u201d, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August \u2013 01 September 2018, pp. 12-16<\/li>
              9. E. Vrochidou, M. Manios, V. G. Kaburlasos, F. Panagiotopoulos, C. Aitsidis, V. Ferelis, \u201cDesign of social robots using open-source robotic platforms\u201d, Proceedings of the International Conference on Robotics & Mechatronics and Social Implementations, Varna, Bulgaria, 28 August \u2013 01 September 2018, pp. 21-26<\/li>
              10. G.A. Papakostas, V.G. Kaburlasos, \u201cModeling in cyber-physical systems by lattice computing techniques: the case of image watermarking based on intervals\u2019 numbers\u201d,\u00a0Proceedings of the World Congress on Computational Intelligence (WCCI) 2018, FUZZ-IEEE Program, Rio de Janeiro, Brazil, 8-13 July 2018, pp. 491-496.<\/li>
              11. Pachidis, E. Vrochidou, V.G. Kaburlasos, S. Kostova, M. Bonkovi\u0107, V. Papi\u0107, \u201cSocial robotics in education: state-of-the-art and directions\u201d,\u00a0Proceedings of the 27th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2018), Patras, Greece, 6-8 June 2018.<\/li>
              12. Lytridis, E. Vrochidou, S. Chatzistamatis, V. Kaburlasos, \u201cSocial engagement interaction games between children with autism and humanoid robot NAO\u201d,\u00a0Proceedings of the 9th International Conference on EUropean Transnational Educational (ICEUTE\u201918), San Sebastian, Spain, 6-8 June 2018. In: Gra\u00f1a M. et al. (eds) International Joint Conference SOCO\u201918-CISIS\u201918-ICEUTE\u201918. SOCO\u201918-CISIS\u201918-ICEUTE\u201918 2018. Advances in Intelligent Systems and Computing (AISC), vol 771, pp. 562-570, 2019. Springer, Cham.<\/li>
              13. Papakostas, G. Sidiropoulos, M. Bella, V. Kaburlasos, \u201cSocial robots in special education: current status and future challenges\u201d, No. 18-2,\u00a0Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A15.<\/li>
              14. Gra\u00f1a, M. Dimitrova, V. Kaburlasos, \u201cCybSPEED project description: aims and means\u201d, No. 18-2,\u00a0Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A13.<\/li>
              15. Lytridis, E. Vrochidou, V. Kaburlasos, \u201cEmotional speech recognition toward modulating the behavior of a social robot\u201d, No. 18-2,\u00a0Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B14.<\/li>
              16. Kaburlasos, C. Bazinas, G. Siavalas, G. Papakostas, \u201cLinguistic social robot control by crowd-computing feedback\u201d, No. 18-2,\u00a0Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B13.<\/li>
              17. V.G. Kaburlasos, Ch. Dardani, M. Dimitrova, A. Amanatiadis, \u201cMulti-robot engagement in special education: a preliminary study in autism\u201d,\u00a0Proceedings of the 36th IEEE\u00a0International Conference\u00a0on Consumer Electronics\u00a0(ICCE), Las Vegas, USA, 12-15 January 2018, pp. 995-996.<\/li>
              18. \u00a0<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
                \n\t\t\t\t\t
                \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2017<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                1. A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, \u201cInteractive social robots in special education\u201d,\u00a0Proceedings of the 2017 IEEE 7th International Conference on Consumer Electronics\u00a0\u2013 Berlin (ICCE-Berlin), Berlin, Germany, 3-6 September 2017, pp. 210-213.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
                  \n\t\t\t\t\t
                  \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2016<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                  1. A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In:\u00a0Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.<\/li>
                  2. A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, On Constructing Distance and Similarity Measures based on Fuzzy Implications. In:\u00a0Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 1-21, 2016.<\/li>
                  3. Y. Liu, V.G. Kaburlasos, A.G. Hatzimichailidis, Y. Xu,\u00a0Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning \u2013 A Lattice Computing Approach. In:\u00a0Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), GCSR vol. 6, pp. 23-42, 2016.<\/li>
                  4. A.G. Hatzimichailidis,\u00a0G.A. Papakostas, V.G. Kaburlasos, \u201cA distance measure based on fuzzy D-implications: application in pattern recognition\u201d,\u00a0British\u00a0Journal of Mathematics & Computer Science, vol. 14, no. 3, pp. 1-14, 2016.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
                    \n\t\t\t\t\t
                    \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2015<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                    1. V.G.\u00a0<\/span>Kaburlasos, G.A.\u00a0<\/span>Papakostas,\u00a0\u201cLearning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications\u201d,\u00a0<\/span>IEEE Computational Intelligence Magazine<\/i><\/span>,\u00a0<\/span>vol.\u00a0<\/span>10<\/span>, no.\u00a0<\/span>3<\/span>, pp.\u00a0<\/span>42<\/span>\u2013<\/span>51<\/span>, 201<\/span>5<\/span>\u00a0(Special Issue on\u00a0<\/span>New Trends of Learning in<\/i><\/span>\u00a0Computational Intelligence<\/i><\/span>.\u00a0<\/span>Guest Editors: Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu).<\/span><\/li>
                    2. G.A.\u00a0Papakostas, A. Savio, M. Gra\u00f1a,\u00a0V.G.\u00a0Kaburlasos,\u00a0\u201cA lattice computing approach to Alzheimer\u2019s disease computer assisted diagnosis based on MRI data\u201d,\u00a0Neurocomputing, vol. 150, part A, pp. 37-42, 2015 (Special Issue on\u00a0Bioinspired and knowledge based techniques and applications.\u00a0Guest Editors: Manuel\u00a0Gra\u00f1a\u00a0and Bogdan Raducabu).<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                      \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2014<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                      1. V.G.\u00a0Kaburlasos, T.\u00a0Pachidis,\u00a0\u201cA Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application\u201d,\u00a0Information Fusion,\u00a0vol. 16, pp. 68-83, 2014 (Special Issue on\u00a0Information Fusion in\u00a0Hybrid Intelligent Fusion Systems.\u00a0Guest Editors: Michal Wozniak, Emilio Corchado and Manuel Gra\u00f1a).<\/li>
                      2. V.G.\u00a0Kaburlasos, A.\u00a0Kehagias,\u00a0\u201cFuzzy inference system (FIS) extensions based on lattice theory\u201d,\u00a0IEEE Transactions on Fuzzy Systems,\u00a0vol. 22, no. 3, pp. 531-546, 2014.<\/li>
                      3. S.E.\u00a0Papadakis,\u00a0V.G.\u00a0Kaburlasos, G.A. Papakostas,\u00a0\u201cTwo fuzzy lattice reasoning (FLR) classifiers and their application for human facial expression recognition\u201d,\u00a0Journal of Multiple-Valued Logic and Soft Computing,\u00a0vol. 22, no. 4-6, pp. 561-579, 2014 (Special Issue on\u00a0Uncertainty Modeling in Knowledge Engineering and Decision Making.\u00a0Guest Editors: Cengiz Kahraman and Farouk Yalaoui).<\/li>
                      4. Y.\u00a0Jamshidi,\u00a0V.G.\u00a0Kaburlasos,\u00a0\u201cgsaINknn: A GSA optimized, lattice computing knn classifier\u201d,\u00a0Engineering Applications of Artificial Intelligence,\u00a0vol. 35, pp. 277-285, 2014.<\/li>
                      5. G.A. Papakostas, V.G. Kaburlasos, \u201cLattice Computing (LC) meta-representation for pattern classification\u201d,\u00a0Proceedings of the World Congress on Computational Intelligence (WCCI) 2014, FUZZ-IEEE Program, Beijing, China, 6-11 July 2014, pp. 39-44.<\/li>
                      6. J. Maiora, G.A. Papakostas,\u00a0V.G.\u00a0Kaburlasos, M.\u00a0Gra\u00f1a,\u00a0\u201cA proposal of texture features for interactive CTA segmentation by active learning\u201d,\u00a0KES International Conference on Innovation in Medicine and Healthcare (InMed-14), San Sebastian, Spain, 9-11 July 2014, pp. 311-320.<\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                        \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2013<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                        1. G.A.\u00a0Papakostas, A.G.\u00a0Hatzimichailidis,\u00a0V.G.\u00a0Kaburlasos,\u00a0\u201cDistance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view\u201d,\u00a0Pattern Recognition Letters,\u00a0vol. 34, no. 14, pp. 1609-1622, 2013.<\/span><\/li>
                        2. V.G.\u00a0Kaburlasos, S.E. Papadakis, G.A.\u00a0Papakostas,\u00a0\u201cLattice computing extension of the FAM neural classifier for human facial expression recognition\u201d,\u00a0IEEE Transactions on Neural Networks and Learning Systems,\u00a0vol. 24, no. 10, pp. 1526-1538, 2013.<\/span>
                          <\/span><\/li>
                        3. V.G. Kaburlasos, G.A. Papakostas, T. Pachidis, A. Athinellis, \u201cIntervals\u2019 numbers (INs) interpolation \/extrapolation\u201d,\u00a0Proceedings of the\u00a0IEEE International Conference on Fuzzy Systems\u00a0(FUZZ-IEEE\u00a02013), Hyderabad, India, 7-10 July 2013.<\/span>
                          <\/span><\/li>
                        4. G.A. Papakostas, V.G. Kaburlasos, T. Pachidis, \u201cThermal infrared face recognition based on lattice computing (LC) techniques\u201d,\u00a0Proceedings of the\u00a0IEEE International Conference on Fuzzy Systems\u00a0(FUZZ-IEEE\u00a02013), Hyderabad, India, 7-10 July 2013.<\/span>
                          <\/span><\/li>
                        5. V.T. Tsoukalas,\u00a0V.G.\u00a0Kaburlasos, C. Skourlas,\u00a0\u201cA granular, parametric KNN classifier\u201d,\u00a017th Panhellenic Conference on Informatics (PCI 2013), Thessaloniki, Greece, 19-21 September 2013,\u00a0pp.\u00a0319-326.<\/span>
                          <\/span><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                          \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2012<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                          1. V.G.\u00a0Kaburlasos, S.E. Papadakis, A.\u00a0Amanatiadis,\u00a0\u201cBinary image 2D shape learning and recognition based on lattice computing (LC) techniques\u201d,Journal of Mathematical Imaging and Vision,\u00a0vol. 42, no. 2-3, pp. 118-133, 2012 (Special Issue on\u00a0Hybrid Artificial Intelligent Systems.\u00a0Guest Editors: Manuel Gra\u00f1a, Emilio Corchado, Michal Wozniak).<\/span><\/li>
                          2. S.E.\u00a0Papadakis,\u00a0V.G.\u00a0Kaburlasos, G.A. Papakostas,\u00a0\u201cFuzzy lattice reasoning (FLR) classifier for human facial expression recognition\u201d,\u00a0Proceedings of the 10th\u00a0International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 633-638.<\/span>
                            <\/span><\/li>
                          3. A.G. Hatzimichailidis, G.A. Papakostas,\u00a0V.G.\u00a0Kaburlasos,\u00a0\u201cA study on fuzzy D-implications\u201d,\u00a0Proceedings of the 10th\u00a0International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 708-713.<\/span>
                            <\/span><\/li>
                          4. T.\u00a0Pachidis,\u00a0V.G.\u00a0Kaburlasos,\u00a0\u201cPerson identification based on lattice computing k-nearest-neighbor fingerprint classification\u201d,\u00a016th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2012), San Sebasti\u00e1n, Spain, 10-12 September 2012, Advances in Knowledge-Based and Intelligent Information and Engineering Systems. IOS Press, 2012, Manuel Gra\u00f1a, Carlos Toro, Jorge Posada, R. J. Howlett, L. C. Jain (Eds.), pp. 1720-1729.<\/span>
                            <\/span><\/li>
                          5. V.G.\u00a0Kaburlasos,\u00a0\u201cFuzzy lattice reasoning (FLR) extensions to lattice-valued logic\u201d,\u00a016th Panhellenic Conference on Informatics (PCI 2012), Piraeus, Greece, 5-7 October 2012. IEEE 2012 Copyright, Dimitrios D. Vergados, Costas Lambrinoudakis (Eds.), pp. 445-448.<\/span>
                            <\/span><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                            1. V.G. Kaburlasos (Guest Editor),\u00a0<\/span>Special Issue on: Information Engineering Applications Based on Lattices<\/span>, Information Sciences<\/i><\/span>, vol. 181, iss. 10<\/span>, pp.\u00a0<\/span>1771-1773<\/span>, 2011 (16 papers, pp.\u00a0<\/span>1774-2060<\/span>).<\/span><\/li><\/ol><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                              Publications 2024 Lytridis C, Pachidis T. Recent Advances in Agricultural Robots for Automated Weeding. AgriEngineering. 2024; 6(3):3279-3296. https:\/\/doi.org\/10.3390\/agriengineering6030187 2023 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.\u00a0Robotics\u00a02023,\u00a012, 147. https:\/\/doi.org\/10.3390\/robotics12060147 E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, \u201cA Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7\u201d, Sensors, vol. 23, no. 19, 8126, 2023. https:\/\/doi.org\/10.3390\/s23198126 (Special Issue \u201cIntelligent Sensing and Machine Vision in Precision Agriculture\u201d. Guest Editors: Yuwei Wang, Liqing Chen, Peng Chen, Bolin Cai) https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/Z1SF644ZAW G. Siavalas, E. Vrochidou, V. G. Kaburlasos, \u201cUnmanned aerial vehicles for agricultural automation\u201d. 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 E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, \u201cAn autonomous multi-agrobot design for skillful vinicultural tasks\u201d, 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. C. Bazinas, C. Lytridis, V. G. Kaburlasos, \u201cMeta-statistical deep learning for stochastic time-series prediction in agricultural applications\u201d, International Joint Conference on Neural Networks (IJCNN 2023). Gold Coast, Queensland, Australia, 18-23 June 2023. 2023 International Neural Network Society (INNS) Workshop on Deep Learning Innovations and Applications (DLIA) V. G. Kaburlasos, C. Lytridis, G. Siavalas, V. N. Tsakalidou, C. Tsakmakis, I. Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas, \u201cSkilled Agricultural Task Delivery by a Digital Twin,\u201d 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 364-365, doi: 10.1109\/CAI54212.2023.00159. Karampatea, E. Bouloumpasi, E. Karapatzak, S. Theocharis, T. Gkrimpizis, C. Karadimou, E. Tziolas, S. Pavlidis, S. Koundouras, S. Mamalis, C. Lytridis, T. Pachidis, V. G. Kaburlasos, \u201cTechnology-based regional wine development: A multi-purpose agrobot design for grape harvest automation\u201d, European Association of Wine Economists (EuAWE) 2023 Conference. Chania, Crete, Greece, 28-31 May 2023. C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, E. Moschou, V. G. Kaburlasos, \u201cGrape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints\u201d, Sustainability, vol. 15, no. 9, 7331, 2023. https:\/\/doi.org\/10.3390\/su15097331 (Special Issue Computational Intelligence for Sustainability. Guest Editors: Zhebin Xue, Xianyi Zeng) https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/Computational_IntelligenceSustainability E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, \u201cAssessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices\u201d, Sustainability, vol. 15, no. 4, 3866, 2023. https:\/\/www.mdpi.com\/2071-1050\/15\/4\/3866\u00a0 E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, \u201cComparative assessment of environmental\/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture\u201d, Sustainability, vol. 15, no. 3, 2753, 2023. https:\/\/doi.org\/10.3390\/su15032753\u00a0 2022 M. Youssfi, F. Ezzahra Ezzrhari, Y. Hajoui, O. Bouattane, V. Kaburlasos, \u201cMulti-micro-agent system middleware model based on event sourcing and CQRS patterns\u201d. In: Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications, A. Boulmakoul, L. Karim, B. Bhushan (Eds.), chapter 2, pp. 25-46, 2022. CRC Press, Taylor & Francis Group: Florida, USA. eBook ISBN 9781003255635, DOI: 10.1201\/9781003255635-2 C. Lytridis, C. Bazinas, T. Pachidis, V. Chatzis, V. G. Kaburlasos, \u201cCoordinated navigation of two agricultural robots in a vineyard: A simulation study\u201d, Sensors, vol. 22, no. 23, 9095, 2022. https:\/\/doi.org\/10.3390\/s22239095 (Special Issue on Computational Intelligence and Cyberphysical Systems in Sensing. https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/S5WO1ME30T\u00a0 Guest Editor: Manuel Gra\u00f1a) V. Holeva, V. A. Nikopoulou, C. Lytridis, C. Bazinas, P. Kechayas, G. Sidiropoulos, M. Papadopoulou, M. D. Kerasidou, C. Karatsioras, N. Geronikola, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, \u201cEffectiveness of a robot-assisted psychological intervention for children with autism spectrum disorder\u201d, Journal of Autism and Developmental Disorders, Published online: 04 November 2022, https:\/\/doi.org\/10.1007\/s10803-022-05796-5 M. Tsolaki, V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. Siavalas, \u201cSocial robots for pedagogical rehabilitation in special education for the elderly\u201d, 2nd Edition of Robot Intelligence Technology and Applications 2022 (V-RITA2022), Theme \u201cModification of Lifestyle by Innovation in Robot Intelligence Technology and Applications\u201d, 21-22 October 2022. E. Vrochidou, C. Bazinas, E. Mavridou, T. Pachidis, S. Mamalis, S. Koundouras, T. Gkrimpizis, V. G. Kaburlasos, \u201cConsiderations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards\u201d, 10th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2022), Athens, Greece, 22-25 September 2022, pp. 45-51. https:\/\/ceur-ws.org\/Vol-3293\/ (Open Access). Proceedings ebook: https:\/\/www.haicta.gr\/ebooks.html C. Chariskou, C. Bazinas, A. J. Daniels, U. L. Opara, H. H. Nieuwoudt, V. G. Kaburlasos, \u201cVariable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection\u201d, 30th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2022), Split, Croatia, 22-24 September 2022. C. Chariskou, E. Vrochidou, A. J. Daniels, V. G. Kaburlasos, \u201cVariable selection on reflectance NIR spectra for the prediction of TSS in intact berries of Thompson seedless grapes\u201d, Agronomy, vol. 12, no. 9, 2113. https:\/\/doi.org\/10.3390\/agronomy12092113 V. G. Kaburlasos, C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, \u201cFuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest\u201d, In: Qinglin Sun, Jie Lu, Xianyi Zeng, Etienne E. Kerre, Tianrui Li (Eds.), Proceedings of the 15th International FLINS (Fuzzy Logic and Intelligent Technologies in Nuclear Science) Conference (FLINS 2022) on Machine Learning, Multi Agent and Cyber Physical Systems, Tianjin, China, 26-28 August 2022. World Scientific Proceedings Series on Computer Engineering and Information Science 13, pp. 80-87. (Best Paper Award). https:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/13231#t=toc E. Vrochidou, V. N. Tsakalidou, I. Kalathas, T. Gkrimpizis, T. Pachidis, V. G. Kaburlasos, \u201cAn overview of end-effectors in agricultural robotic harvesting systems\u201d, Agriculture, vol. 12, iss. 8, 1240, 2022. https:\/\/doi.org\/10.3390\/agriculture12081240 V. G. Kaburlasos, \u201cRobot intelligence technology for skillful viniculture based on the lattice computing paradigm\u201d, International Meet & Expo on Robot Intelligence Technology and Applications (ROBOTMEET2022), Edinburgh, Scotland, 18-20 August 2022. K. D. Apostolidis, T. Kalampokas, T. P. Pachidis, V. 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