Abstract
Most robotic approaches beging with a fixed robot hardware design and then experiment with control structures. We take a different approach that considers both the robot hardware and the control structure as variables in the evolution process. This paper reports the results of experiments which explore the placement of sensors and effectors around the perimeter of a simulated agent's body, and the neural network (NNet) that controls them.
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