文章基本信息

标题：Self-organizing Symbol Acquisition and Motion Generation based on Dynamics-based Information Processing System
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作者：Masafumi Okada ; Daisuke Nakamura ; Yoshihiko Nakamura 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2005
卷号：20
期号：3
页码：177-187
DOI：10.1527/tjsai.20.177
出版社：The Japanese Society for Artificial Intelligence
摘要：The symbol acquisition and manipulation abilities are one of the inherent characteristics of human beings comparing with other creatures. In this paper, based on recurrent self-organizing map and dynamics-based information processing system, we propose a dynamics based self-organizing map (DBSOM). This method enables designing a topological map using time sequence data, which causes recognition and generation of the robot motion. Using this method, we design the self-organizing symbol acquisition system and robot motion generation system for a humanoid robot. By implementing DBSOM to the robot in the real world, we realize the symbol acquisition from the experimental data and investigate the spatial property of the obtained DBSOM.
关键词：dynamics-based information processing ; self-organizing map ; symbol acquisition ; motion generation ; humanoid robot