Towards imitation learning from a viewpoint of an internal observer

被引：0
|
作者：
Yoshikawa, Y [1 ]
Asada, M
Hosoda, K
机构：
[1] Osaka Univ, Grad Sch Engn, Dept Adapt Machine Syst Frontier Res Ctr, Osaka, Japan
[2] Osaka Univ, Grad Sch Engn, HANDAI Frontier Res Ctr, Osaka, Japan
来源：
EMBODIED ARTIFICIAL INTELLIGENCE | 2004年 / 3139卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a constructivist approach towards both establishing the design principle for an intelligent robot and understanding human intelligence. This paper argue two issues towards imitation by an internal observer: one concerns how to construct the self body representation of the robot with vision and proprioception and the other concerns how to construct a mapping of vocalization between agents with different articulation systems. Preliminary results with real robots are given.
引用
收藏
页码：278 / 283
页数：6
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