Learning—Parameter learning

We propose a mechanism to communicate emotions to hu-mans by using head, torso and arm movements of a hu-manoid robot, without exploiting its facial features. To this end, we build a library of pre-programmed robot movements and we ask people to attribute emotional scores to these ini-tial movements. The answers are then used to fine-tune motion parameters with an active learning approach