A successive learning neuro control system shooting irregular moving object

K. Hirota, Tsurumaru Tsurumaru, A. Motegi, M. Ohtani, N. Yubazaki, T. Miyajima

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum.

Original languageEnglish
Title of host publicationProceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-330
Number of pages5
ISBN (Electronic)0780314077, 9780780314078
DOIs
Publication statusPublished - 1993
Externally publishedYes
Event2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 - Tokyo, Japan
Duration: 3 Nov 19935 Nov 1993

Publication series

NameProceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993

Conference

Conference2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993
Country/TerritoryJapan
CityTokyo
Period3/11/935/11/93

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