Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning

Abstract

At the beginning of the research on artificial intelligence, intelligence was thought to be almost synonymous with thought, but as the research of psychology and robot progresses, it began to be considered that the essence of intelligence is to have physicality. In research on cognitive developmental robotics, various methodologies related to cognitive developmental learning by communication-based on physicality are proposed, and even in human cognitive development, cognitive ability, communication skill, and physical exercise ability interrelate with each other is important. In this paper, for instructed learning between humans and humanoid robots, we focus on the analysis of nonverbal information and construct a cognitive development the system with the objective of recognizing the target motion, extracting action segments, and acquiring actions. We propose a method to recognize the motion of human beings in real time by using Spiking Neural Network, cluster direction vectors using Multi Layer Growing Neural Gas, and obtain motion. In addition, in order to confirm the effectiveness of the proposed method, actions are acquired using data actually measured, and the acquired action is confirmed.