State Estimation of a Spinning Ball Using LWR(Locally Weighted Regression).
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- Miyazaki Fumio
- Osaka University
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- Masutani Yasuhiro
- Osaka University
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- Hirose Eiichi
- Osaka University
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- Nakamura Daisuke
- Osaka University
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- Sato Nobuyuki
- Osaka University
Bibliographic Information
- Other Title
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- LWR(Locally Weighted Regression)学習によるスピンボールの状態予測
- LWR Locally Weighted Regression ガクシュウ ニ
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Abstract
This paper describes a learning system that has the ability to estimate the flight trajectory of a spinning ball. This system plays an important role in realizing a robot that plays ping-pong against a human. LWR (Locally Weighted Regression) is employed to learn a forward map from stereo image inputs of an incoming ball to the state outputs of the ball just before hitting. The experimental results show that the ball trajetory can be estimated accurately irrespective of how the ball is spinning.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 16 (5), 684-689, 1998
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390001204727265536
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- NII Article ID
- 10002864135
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 4522828
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed