Applications of Back Propagation Neural Networks to Robot Position Control
A method using neural network techniques for solving picking-up problems for robotic manipulators is presented in this article. An error back propagation network is used twice to process an image of a randomly placed object in order to find the gripping point and to obtain the required joint angles of the robot arms. Techniques of probabilistic and periodic coding are employed to improve generalisation ability of the network.
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