Attention mechanism can be used both for reducing the amount of perceptual information to be processed and for restricting all available actions to only those useful for a given scenario. Information reduction improves performance and action restriction allows for a more precise interaction with our environment. In this paper we present the design of an attention control mechanism based on a saliency map and its implementation in the SPL's Nao robot. The results obtained are analysed and future works derived from that analysis are presente
