Optimization Model to Express Emotions of Pet Robots

抄録

In this study, we propose an emotional expression optimization model that is focused on action. Humanoid robots can express emotions through speech or gestures. However, most pet robots do not have the ability to speak like humans; thus, it is necessary for them to express emotions only through various actions. To resolve this issue, we apply an interactive tabu search, which was proposed in our previous emotion generation model. According to the proposed model, robots can change their actions depending on the intended emotional expressions, thus, they can appropriately express complex emotions. As a result of experimental verification, the proposed model is effective at searching for users preferred emotional expression actions.