LEARNING
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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