Shooting robot based on chaos & fuzzy prediction

Kaoru Hirota*, Atsushi Motegi, Youichi Kubota, Naoyoshi Yubazaki, Masayuki Otani

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Short-term prediction of the time series having chaotic behavior is to find some deterministic regularity in the phenomenon that was thought as noise or to be irregular and thereby to predict its state in the near future. A local fuzzy reconstruction method predicts its state in the near future from the local reconstruction based on approximate inference. As an application experiment, a shooting robot that predicts the movement of ring having chaotic behavior based on this method and shoots a ball by a 3-freedom arm robot is constructed. The robot has the shooting ability of 59% in average.

Original languageEnglish
Pages95-98
Number of pages4
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: 20 Mar 199524 Mar 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period20/03/9524/03/95

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Hirota, K., Motegi, A., Kubota, Y., Yubazaki, N., & Otani, M. (1995). Shooting robot based on chaos & fuzzy prediction. 95-98. Paper presented at Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn.