Neural Network Application in Control of Manipulator

What is it about?

Neural networks are the graet methods for control of robot, especially if mathematical model of robot is not known or uncertain. In the work, the neural networks are implemented in control system to learning the features of the controlled object (the robotic manipulator). Neural networks are learned during robot movement and generate control signals, which ensure high accuracy of robot. The method was used for control of robot, which interacts with known rigid environment.

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