Research Article
Dynamic Hybrid Filter for Vision-Based Pose Estimation of a Hexa Parallel Robot
Table 4
The summary of the mean absolute error in some pose estimation methods.
| Ref | Method | Robot | Mean absolute error | (mm) | (mm) | (mm) | (degrees) | (degrees) | (degrees) |
| [12] | Sensor frame, reflectors | 6-RSS parallel robot | 0.319 | 0.393 | 0.360 | 0.086 | 0.074 | 0.043 | [19] | Vision-based, AKF | PUMA 560 | 1.0 | 1.1 | 1.5 | 0.2 | 0.4 | 0.4 | [20] | C-track 780 vision, AKF | KUKA KR 6-2 | 0.2 | 0.2 | 0.2 | 0.1 | 0.1 | 0.1 | [21] | Vision-based, EKF | Delta Parallix LKF-2040 | 1.79 | 1.79 | 1.79 | — | — | — | [28] | Vision-based, EKF | Robot arm | 0.3 | 0.3 | 0.6 | 0.1 | 0.4 | 0.4 | [29] | Vision-based, neural network, EKF | Tensegrity manipulator | 2.568 | 2.204 | 1.663 | 2. 269 | 2. 128 | 2. 054 |
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