Learning self-localization with teaching system

被引：0

作者：

Yokoi, M ^{[1
]}

Kobayashi, Y ^{[1
]}

Fukase, T ^{[1
]}

Yuasa, H ^{[1
]}

Arai, T ^{[1
]}

机构：

[1] Univ Tokyo, Dept Precis Engn, Bunkyo Ku, Tokyo 1138656, Japan

来源：

2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS | 2000年

关键词：

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Learning approach is effective to design a agent that lakes action autonomously. We propose to adopt teaching approach to design autonomous agents for RoboCup soccer tasks. Our teaching system consists of the ceiling CCD camera, SONY legged robots, and a PC for the teaching terminal. As a first step of the teaching process, we realised the Self-localization of the robot using BP algorithm of feed forward neural networks.

引用

页码：1211 / 1216

页数：6

共 8 条

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