Abstract: A method of modeling a composite emotion in a multidimensional vector space, is provided with creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions. Further, the method of modeling a composite emotion in a multidimensional vector space includes creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space.

Abstract: A method of modeling a composite emotion in a multidimensional vector space, is provided with creating an emotion vector space by defining dimensions of a vector space in consideration of stimuli affecting emotions, and dividing a defined multidimensional vector space into emotion regions. Further, the method of modeling a composite emotion in a multidimensional vector space includes creating a composite emotion by calculating a fuzzy partitioned matrix between a current state vector and respective representative vectors in the created emotion vector space.

Abstract: A method and apparatus for expressing an emotion of a robot, which are applicable to different emotion robot platforms are provided. The method of expressing an emotion of a robot, the method includes: collecting emotion information by at least one internal or external sensor; generating an emotion and determining a behavior based on the collected information; determining an emotion expression, emotional intensity, and an action unit according to the generated emotion; generating an emotion expression document according to the determined emotion expression, emotional intensity, and action unit; analyzing the emotion expression document; and controlling the robot based on the initial status information of the robot and the generated emotion expression document.

Abstract: An apparatus and method for expressing emotions in an intelligent robot. In the apparatus, a plurality of different sensors sense information about internal/external stimuli. A state information collector processes the detected information about the internal/external stimuli in a hierarchical structure to collect external state information. An emotion motive determiner determines an emotion need motive on the basis of the external state information and the degree of a change in an emotion need parameter corresponding to internal state information. An emotion state manager extracts available means information for satisfaction of the generated emotion needs motive and state information corresponding to the available means information. An emotion generator generates emotion information on the basis of a feature value of the extracted state information.