Research Article
A Bioinspired Neural Model Based Extended Kalman Filter for Robot SLAM
Table 2
The root mean square error of the SLAM task in the first experiment.
| The algorithms for the SLAM task | The root mean square error | | | Angle/rad |
| The S-EKF based method | 0.2707 | 0.2366 | 0.0829 | The F-EKF based method | 0.1205 | 0.1473 | 0.0472 | The B-EKF based method | 0.0976 | 0.0816 | 0.0105 |
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