Building neural network-based behaviour systems for emotion-based pet robots
Wei Po Lee, Tsung Hsien Yang, Bingchiang Jeng · International Journal of Modelling Identification and Control · 2010
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.