G. Siavalas

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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Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN 2020, Glasgow, United Kingdom

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, “Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206965.

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Linguistic social robot control by crowd-computing feedback – ROBOMECH 2018, Kitakyushu, Japan

Kaburlasos, C. Bazinas, G. Siavalas, G. Papakostas, “Linguistic social robot control by crowd-computing feedback”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B13.

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