Training an ANN to control a robot using a Genetic Algorithm - Standing

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 to stand. In the previous reports the GA was used to evolve an ideal Artificial Neural Network topology, which was then refined via backpropagation learning. For this report the same techniques will be applied to the process of training an ANN to control a simulated robot, referred to simBot in this report.