Modeling of robot inverse kinematics using two ANN paradigms
Shuai Yang, Mahmoud Moghavvemi, J.D. Tolman · 2002
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.