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

ec4ec und newtron

-- Who Counts

Zusätzlich enthält die hier vorliegende Arbeit einen umfangreichen Fragenkatalog

The theoretic view is based on literature research while the source for the examination of the practical problems of German buyers as well as of Chinese suppliers is a questionnaire based interview study among involved companies

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