Summary and Conclusion
The capabilities of the brain, be it human or animal, have always had a special appeal to researchers. How the learning of a body schema  and corresponding motor control could look like in the brain is the particular motivation of this thesis, approached from a computer science perspective. Different learning algorithms were evaluated and integrated into a control framework able to use a simulated, anthropomorphic arm to reach given target locations. The framework was not built to primarily achieve this task with maximum performance, but instead to model respective brain functionality.
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