Visual attention is a natural tool which allows
animals to locate relevant objects or areas in a given scene,
discarding the rest of elements present and thus reducing the
amount of information to deal with. In this paper we present the
design an implementation of a visual attention mechanism based
on a saliency map and its implementation in the Nao humanoid.
This control mechanism is applied to solve one of the challenges
proposed in the RoboCup competition named ”any-ball”. The
results obtained are analysed and future works derived from
that analysis are presente
