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	Integration of Brain-like neural network and infancy behaviors for robotic pointing
	Wang, Zhengshuai ; Xu, Guanghua ; Chao, Fei ; Chao F(晁飞)
	2014
关键词	Neural networks Robotics Robots
英文摘要	Conference Name:2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014. Conference Address: Sapporo City, Hokkaido, Japan. Time:April 26, 2014 - April 28, 2014.; Future University Hakodate; IEEE Sapporo Section; Xiamen University; This paper introduces a new approach to learning pointing behavior in a developmental robot by using a type of constructive neural network and Q-learning algorithm, taking inspirations from human infant development. The pointing behavior is considered as the first movement that human infants use to communicate with other person during human development, it is also the foundation of the human social interaction abilities. We rebuilt this developmental course in our robot simulation system. The learning algorithm of the pointing is implemented by Q-Learning, and a radial based function neural network with resource allocating algorithm is applied to hold the learning result and to control robot movements. The experimental results show that the approach is able to lead our development robot to generate pointing behavior.
语种	英语
出处	http://dx.doi.org/10.1109/InfoSEEE.2014.6946194
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86898]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Wang, Zhengshuai,Xu, Guanghua,Chao, Fei,et al. Integration of Brain-like neural network and infancy behaviors for robotic pointing. 2014-01-01.

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