Learning Social Interaction from the Wizard: A Proposal

摘要: In this paper, we conjecture that LfD can be used to develop robot behavior capable of interacting socially with humans, in scenarios such as a sharing the use playful and educational app. These demonstrations, argue, should provided within Wizard-of-Oz paradigm. Thus, refer for social human-robot interaction learning from wizard (LfW). We describe corresponding algorithmic experimental framework explore challenges designing LfW systems. Finally, two ongoing projects involving interaction, along robotic platform cognitive architecture are common between projects.