An architecture to coordinate fuzzy behaviors to control an autonomous robot

We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. Behavior coordination is obtained by fuzzy conditions and motivations evaluated on information provided by intelligent sensors and a world modeler. We also discuss the compatibility of our architecture with cognitive models. We present the application of this architecture in one of the domains we have faced with it: service and edutainment robotics.

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