A MultiModal Social Robot Toward Personalized Emotion Interaction

Once the robots have the ability to recognize the user's affective states, the HRI system can utilize this information The utilization of emotional models in HRI can create more natural This paper presents an ongoing study on multimodal humanrobot and engaging HRI experiences, as evidenced by Ficocelli interaction (HRI) with a reinforcement learning (RL) et al. (Ficocelli, Terao, and Nejat 2015). To develop an effective HRI system for social emotional model can also be used for the empathetic robots that can naturally interact with human users, the appraisal for social robots that can interact with children in robots need to accurately identify the user's affective states the long-term study (Leite et al. 2014).