SANE has been used to evolve robot controllers in two simulated environment: reaching for a target while avoiding obstacles with the Simderella robot arm, and for running in a maze environment with the Khepera miniature mobile robot simulator. In both cases, evolution discovered a general, robust strategy that would be difficult to learn in any other way or even design by hand.