Building neural network-based behaviour systems for emotion-based pet robots

Designing robots for home entertainment has become an important application of intelligent autonomous robot. Yet, robot design takes considerable amount of time, and the short life cycle of toy-type robots with fixed prototypes and repetitive behaviours is in fact disadvantageous. Therefore, it is important to develop a framework of robot configuration so that the user can always change the characteristics of his pet robot easily. In this paper, we present a user-centred interactive framework that employs a neural network-based approach to construct behaviour primitives and behaviour arbitrators for robots. For evaluation, we use the proposed framework to construct emotion-based pet robots. Experimental results show the efficiency of the proposed approach.

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