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Fuzzy Computing for Communication of A Partner Robot Based on Imitation

Naoyuki Kubota, Kentaro Nishida

Year
2006
Citations
25

Abstract

This paper discusses communication between a partner robot and human based on visual tracking, and imitative learning for the partner robot. In this paper, we propose imitative learning and communication with human based on spiking neural network, self-organizing map, and steady-state genetic algorithm. Furthermore, we show experimental results of the partner robot based on imitation.

Keywords

ImitationRobotComputer scienceArtificial intelligenceFuzzy logicHuman–robot interactionHuman–computer interactionPsychology

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