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
2000-01-01
852484 byte
Conference paper
Electronic Resource
English
Springer Verlag | 2021
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|An Analysis of Inverse Kinematics of Robot Manipulators using Grobner Basis
British Library Online Contents | 1997
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