Building neural network-based behaviour systems for emotion-based pet robots
by Wei-Po Lee, Tsung-Hsien Yang, Bingchiang Jeng
International Journal of Modelling, Identification and Control (IJMIC), Vol. 11, No. 1/2, 2010

Abstract: 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.

Online publication date: Mon, 20-Sep-2010

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