A sound-based online method for estimating the time-varying posture of a hose-shaped robot

Yoshiaki Bando, Katsutoshi Itoyama, Masashi Konyo, Satoshi Tadokoro, Kazuhiro Nakadai, Kazuyoshi Yoshii, Hiroshi G. Okuno

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    This paper presents an online method that can accurately estimate the time-varying posture of a moving hose-shaped robot having multiple microphones and loudspeakers. Sound-based posture estimation has been considered to be promising for circumventing the cumulative error problem of conventional integral-type methods using differential information obtained by inertial sensors. Our robot emits a reference signal from a loud-speaker one by one and estimates its posture by measuring the time differences of arrival (TDOAs) at the microphones. To accurately estimate the posture of the robot (the relative positions of the microphones and loudspeakers) even when the robot moves, we propose a novel state-space model that represents the dynamics of not only the posture itself but also its change rate in the state space. This model is used for predicting the current posture by using an unscented Kalman filter. The experiments using a 3m moving hose-shaped robot with eight microphones and seven loudspeakers showed that our method achieved less than 20 cm error at the tip position even after the robot moved over a long time, whereas the estimation error obtained by a conventional integral-type method increased monotonically over time.

    本文言語English
    ホスト出版物のタイトル12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014 - Symposium Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(印刷版)9781479941995
    DOI
    出版ステータスPublished - 2014 1 21
    イベント12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014 - Hokkaido, Japan
    継続期間: 2014 10 272014 10 30

    Other

    Other12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014
    CountryJapan
    CityHokkaido
    Period14/10/2714/10/30

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Safety, Risk, Reliability and Quality

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