  In this position paper, we discuss how the use of a cognitive architecture
based on unsupervised clustering (the Kohonen Self-Organizing Map) enables us
to meet our goals of efficient action selection in a mobile robot. This
architecture provides several opportunities for human-robot interaction, and we
discuss how its features facilitate these interactions.
