Athanasios S. Polydoros

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—A detailed analysis of the Hebbian-like learning algorithms applied to train Fuzzy Cognitive Maps (FCMs) is presented in this paper. These algorithms aim to find appropriate weights between the concepts of the FCM so the model equilibrates to a desired state. For this manner, four different types of Hebbian learning algorithms have been proposed in the(More)
Despite the large scientific interest on robot learning for object picking tasks [1]–[4], the research on object placing is too limited. Commonly, placing is simplistically considered as a trivial task, but real life manipulation problems indicate the exact opposite. A placing task can have different levels of complexity, ranging from the simplest tabletop(More)
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