The comparison of the performance of two artificial neural network or ANN paradigms trained to learn data obtained from the kinematics model of a UMI RTX robotic arm are presented. Trained ANN simulators were implemented to position the robotic manipulator demonstrating the feasibility of using ANN technology in actual implementation.
Modeling of robot inverse kinematics using two ANN paradigms
01.01.2000
852484 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Springer Verlag | 2021
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