Prediction of backhoe loading motion via the beta-process hidden markov model

Kento Yamada, Kazunori Ohno, Ryunosuke Hamada, Thomas Westfechtel, Ranulfo Plutarco Bezerra Neto, Naoto Miyamoto, Taro Suzuki, Takahiro Suzuki, Keiji Nagatani, Yukinori Shibata, Kimitaka Asano, Tomohiro Komatsu, Satoshi Tadokoro

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Backhoe loads sediment onto the bed of dump trucks during earthmoving work. The prediction of backhoe loading time is essential for ensuring safe cooperation between the backhoe and dump trucks. However, it is difficult to predict the instant at which the backhoe is ready to load sediment, because of the similarity in motions observed during gathering sediment. Moreover, since operators have different skill levels, the prediction requires a unique model for each operator. In this study, we attempt to predict the instant at which the backhoe is ready to load sediment into the dump truck. For this purpose, the beta-process hidden Markov model (BP-HMM) is employed to build a backhoe motion model for a specific operator. Time series data of backhoe loading motions for crushed rocks and wood chips, which were measured using 6-axis inertial measurement unit (IMU) sensors equipped at the cab, boom, and arm of the backhoe, were used for modeling with the BP-HMM. Several primitive motions of the backhoe, which occur at the completion of preparation before the loading process begins, were discovered as a result of the motion modeling based on the BP-HMM. We developed the prediction of the instant using three primitive motions. At best, the proposed method could predict the instant with a probability of 67% and 100%, at 6.0 s and 0.7 s before the loading motions began, respectively. This phased prediction can be used to reduce the idle time and risk for dump trucks during earthmoving work with the backhoe.

本文言語English
ホスト出版物のタイトル2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2663-2670
ページ数8
ISBN(電子版)9781728162126
DOI
出版ステータスPublished - 2020 10 24
イベント2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 - Las Vegas, United States
継続期間: 2020 10 242021 1 24

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Conference

Conference2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
国/地域United States
CityLas Vegas
Period20/10/2421/1/24

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

フィンガープリント

「Prediction of backhoe loading motion via the beta-process hidden markov model」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル