Adaptive pitch control for robot thereminist using unscented Kalman filter

Takeshi Mizumoto, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We present an adaptive pitch control method for a theremin playing robot in ensemble. The problem of the theremin playing is its sensitivity to the environment. This degrades the pitch accuracy because its pitch characteristics are time varying caused by, such as a co-player motion during the ensemble. We solve this problem using a state space model of this characteristics and an unscented Kalman filter. Experimental results show that our method reduces the pitch error the EKF and block-wise update method by 90% and 77% on average, and the robot can play a musical score of 72.9 cent error on average.

本文言語English
ホスト出版物のタイトルModern Advances in Intelligent Systems and Tools
出版社Springer Verlag
ページ19-24
ページ数6
ISBN(印刷版)9783642307317
DOI
出版ステータスPublished - 2012
外部発表はい

出版物シリーズ

名前Studies in Computational Intelligence
431
ISSN(印刷版)1860-949X

ASJC Scopus subject areas

  • 人工知能

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