Robot Control using an Artificial Neural Network Rutilius Taurus Aemilianus ec4ec und newtron

ec4ec und newtron

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The Challenge of Change

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Robot Control using an Artificial Neural Network Rutilius Taurus Aemilianus ec4ec und newtronInhaltsangabe: Abstract: The aim of the project was to control three joints of an industrial robot in terms of its position, velocity and acceleration. The work considered the necessary hardware, principles of neural networks and controlling techniques. The hardware comprised of a robot with three DC motors and three optical position encoders, a personal computer with a D A card for voltage output to the robot and two D D cards. One D D card for