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In this paper, the problem of endowing ubiquitous robots with cognitive capabilities for recognizing emotions, sentiments, affects and moods of humans, in their context, is studied. A hybrid approach based on multilayer perceptron (MLP) neural network and n-ary ontologies for emotion-aware robotic systems is proposed. In particular, an algorithm based on the hybrid-level fusion, an expressive emotional knowledge representation and reasoning model are introduced to recognize complex and non-observable emotional context of the user. Empirical experiments on real-world dataset corroborate its effectiveness.