Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction
Table tennis is important and challenging project for robotics research, and table tennis robotics receives a lot of attention from academics. Trajectory tracking and prediction of table tennis is an important technology for table tennis robots, and its estimation accuracy is also disturbed by non-G...
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| Published in | PloS one Vol. 17; no. 9; p. e0269257 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Public Library of Science (PLoS)
01.01.2022
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| Online Access | Get full text |
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| Abstract | Table tennis is important and challenging project for robotics research, and table tennis robotics receives a lot of attention from academics. Trajectory tracking and prediction of table tennis is an important technology for table tennis robots, and its estimation accuracy is also disturbed by non-Gaussian noise. In this paper, a novel Kalman filter, called minimum error entropy unscented Kalman filter (MEEUKF), is employed to estimate the motion trajectory of physical model of a table tennis. The simulation results show that the MEEUKF algorithm shows outstanding performance in tracking and predicting the trajectory of table tennis compared to some existing algorithms. |
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| AbstractList | Table tennis is important and challenging project for robotics research, and table tennis robotics receives a lot of attention from academics. Trajectory tracking and prediction of table tennis is an important technology for table tennis robots, and its estimation accuracy is also disturbed by non-Gaussian noise. In this paper, a novel Kalman filter, called minimum error entropy unscented Kalman filter (MEEUKF), is employed to estimate the motion trajectory of physical model of a table tennis. The simulation results show that the MEEUKF algorithm shows outstanding performance in tracking and predicting the trajectory of table tennis compared to some existing algorithms. |
| Author | Zhihui Jing Shenyue Luo Peifeng Zheng Jianfeng Niu |
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| Title | Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction |
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