We recently finished our proof-of-concepts experiments with on-line evolution. In on-line evolution a human trainer drives the robot and while the robot is being driven it is learning (via an evolutionary algorithm) to imitate the human’s control behaviors. After a few minutes (the length of time depends on the complexity of the driving conditions) of being driven the robot is ready to drive itself. We submitted the results of the experiments to the Genetic and Evolutionary Computation Conference (GECCO). A draft of the paper is available here.