Research Article
Solution for Ill-Posed Inverse Kinematics of Robot Arm by Network Inversion
Table 1
Network parameters.
| Input neurons | | 3 | Hidden neurons | | 10 | Output neurons | | 2 | Training rate ε t | | 0.01 | Inverse estimation rate ε e | | 0.01 | Training error to be attained | | <0.001 | Estimation error to be attained | | <0.0001 | Joint angles for training data () | 1 | 0, 15,, 90 | | 2 | 45, 60,, 315 | | 3 | 45, 60,, 315 | Arm length l (cm) | | 30 |
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