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Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning

机译:通过教学构建认知发展系统的动作习得方法

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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.
机译:在人工智能研究的开始,人们认为智能几乎与思想同义,但是随着心理学和机器人研究的发展,人们开始认为智能的本质是具有物理性。在认知发展机器人技术的研究中,提出了多种与通过基于身体的沟通进行认知发展学习有关的方法,甚至在人类认知发展中,认知能力,沟通技巧和体育锻炼能力之间的相互联系也很重要。在本文中,为了指导人类和类人机器人之间的学习,我们专注于非语言信息的分析,并构建了一个认知发展系统,其目的是识别目标运动,提取动作段并获取动作。我们提出了一种方法,该方法利用尖峰神经网络实时识别人的运动,并使用多层生长神经气体对方向矢量进行聚类,并获得运动。另外,为了确认所提出的方法的有效性,使用实际测量的数据来获取动作,并且确认所获取的动作。

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