Training an ANN to control a Robot using a Genetic Algorithm - Walking

The purpose of the report is to detail the process of training an Artificial Neural Network to control a robot. This report will be divided into several sections. The goal of this report is to demonstrate the ability of an ANN to control a robot. Specifically, it will stand and walk. In the previous reports, the GA was used to evolve an ideal Artificial Neural Network topology, which was then refined via backpropagation learning.