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This paper presents a method of mood transition design of a robot for autonomous emotional interaction with humans. A 2-D emotional model is proposed to combine robot emotion, mood, and personality in order to generate emotional expressions. In this design, the robot personality is programmed by adjusting the factors of the five factor model proposed by psychologists. From Big Five personality traits,...
A two-dimensional (2-D) emotional model is proposed to represent the emotional state of a sociable robot. We present a novel design of autonomous robotic emotional state transition based on a fuzzy-neuro network. By using fuzzy Kohonen clustering network (FKCN), a smooth transition of the robotic emotional states is obtained to generate continuous emotional behaviors. Moreover, the robotic emotional...
This paper presents a novel design of autonomous robotic facial expression generation using a fuzzy-neuro network. The emotional characteristics of a robot can be specified in this design by assigning weights in the fuzzy-neuro network. The robotic face generates appropriate expressions in responding to the image recognition results of a user's emotional state and the assigned robotic emotional characteristics...
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