Abstract
This paper discusses the learning mechanisms of
cognitive development for partner robots through interaction with people. First of all, we discuss the cognitive capabilities from various points of view. We proposed several learning methods for cognitive development of partner robots based on the relevance theory. Next, we explain a prediction-based perceptual system to learn the human behaviors and gestures related with the background environmental information. Next, we explain the associative learning method of the relationship among linguistic information and perceptual information to realize natural communication with people. Finally, we discuss the learning capabilities of cognitive development of partner robots through these several experimental results.
