Research Article
Semiparametric Deep Learning Manipulator Inverse Dynamics Modeling Method for Smart City and Industrial Applications
Table 3
Comparative analysis of prediction performance of different joint forces.
| ā | Axis 1 | Axis 2 | Axis 3 | Axis 4 | Axis 5 | Axis 6 |
| Cross average RMSE | RBD | 2.5282 | 2.5714 | 2.3313 | 0.6506 | 0.6098 | 0.4345 | NDL | 2.2387 | 2.4535 | 1.7682 | 0.3891 | 0.4455 | 0.4190 | SDL | 1.5679 | 1.7430 | 1.1861 | 0.3400 | 0.4210 | 0.3872 |
| Range of measured torque | ā | 42.1816 | 98.1207 | 49.3103 | 5.7766 | 4.4944 | 6.6976 |
| Ratio | RBD | 0.0599 | 0.0262 | 0.0473 | 0.1126 | 0.1357 | 0.0649 | NDL | 0.0531 | 0.0250 | 0.0359 | 0.0674 | 0.0991 | 0.0626 | SDL | 0.0372 | 0.0178 | 0.0241 | 0.0589 | 0.0937 | 0.0578 |
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