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Abstruct: The " Ifbot " robot communicates with people by considering its own " emotions ". Ifbot has many facial expressions to communicate enjoyment. We first attempted to extract characteristics of Ifbot's facial expressions by mapping these to its emotional space, which we discuss in this paper. We applied a five-layer perceptron to the extraction. We(More)
—To improve face-to-face interaction with robots, we developed a model for generating interactive facial expressions by using a simple recurrent network (SRN). Conventional models for robot facial expression use predefined expressions, so only a limited number of expressions can be presented. This means that the expression may not match the interaction and(More)
The "Ifbot" robot communicates with people by considering its own "emotions" and theirs. Ifbot has many facial expressions to communicate enjoyment. We first attempted to extract characteristics of Ifbot's facial expressions by mapping these to its emotional space, which we discuss in this paper. We applied a five-layer perceptron to the extraction. We also(More)
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcement learning. AE-GSBFN is a kind of actor-critic method that uses basis functions. This method can treat continuous high-dimensional state spaces, because basis functions required(More)
A set of physical feature values, called Laban feature set, is proposed in order to explain observers impression of bodily expression. The design concept of the Laban feature value set is based on Laban Movement Analysis, which is a famous theory in body movement psychology. In this paper, for practial application to Human-Agent Interaction(HAI), we(More)