A Basler ACA smart camera system is connected with MATLAB. An experimental robotic model is constructed to authenticate inverse calculations made by this model. Transformation matrix and forward kinematics of the robotic manipulator is used for generation of the training dataset. MATLAB is used to train the proposed DANN model. The joints in this robotic manipulator are rotary. For the sake of this research, a Deep Artificial neural network (DANN) model is used to solve the inverse kinematics of a 5-axis serial link robotic manipulator. Researchers and roboticists face one of the most complex problems of solving inverse kinematics while designing the robotic manipulator.
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