标题:Autonomous cognitive developmental models of robots-a survey
作者:Huang, Ke ;Ma, Xin ;Tian, Guohui ;Li, Yibin
作者机构:[Huang, Ke ;Ma, Xin ;Tian, Guohui ;Li, Yibin ] School of Control Science and Engineering, Shandong University, Jinan, China
会议名称:2017 Chinese Automation Congress, CAC 2017
会议日期:20 October 2017 through 22 October 2017
来源:Proceedings - 2017 Chinese Automation Congress, CAC 2017
出版年:2017
卷:2017-January
页码:2048-2053
DOI:10.1109/CAC.2017.8243108
关键词:autonomy; cognitive pattern; development models; learning; robotics
摘要:This article intends to provide an overview of the state of art in developmental models of cognitive robots. With the development of artificial intelligence, robots have been able to perform a variety of complex tasks controlled by human. However, it is still a challenge for robots that they can explore and develop their cognitive ability in the specific environment like human beings. The current researches and experiments endow robots with some cognitive abilities such as identifying their own bodies, exploration behaviors, forming concepts etc. We propose to analyze patterns of robotic cognitive development and models in cutting-edge researches, and discuss advantages and disadvantage of these models. Consequently, we can draw some conclusions that may guide a way for future research. © 2017 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050367042&doi=10.1109%2fCAC.2017.8243108&partnerID=40&md5=a9210af8abc8c3b3d9cb0ee20416e0c3
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