DocumentCode
1739799
Title
Learning self-localization with teaching system
Author
Fukase, T. ; Yuasa, H. ; Arai, Tamio
Author_Institution
Dept. of Precision Eng., Tokyo Univ.
Volume
2
fYear
2000
fDate
2000
Firstpage
1211
Abstract
Learning approach is effective to design a agent that takes 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 realized the self-localization of the robot using BP algorithm of feed forward neural networks
Keywords
CCD image sensors; feedforward neural nets; games of skill; intelligent control; learning (artificial intelligence); legged locomotion; microcomputer applications; multi-robot systems; neurocontrollers; sport; BP algorithm; PC; RoboCup soccer tasks; SONY legged robots; backpropagation; ceiling CCD camera; feed forward neural networks; feedforward neural networks; self-localization learning; teaching system; Autonomous agents; Cameras; Charge coupled devices; Charge-coupled image sensors; Education; Educational robots; Feeds; Legged locomotion; Neural networks; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on
Conference_Location
Takamatsu
Print_ISBN
0-7803-6348-5
Type
conf
DOI
10.1109/IROS.2000.893184
Filename
893184
Link To Document