How Useful is Lifelong Evolution for Robotics?

This paper investigates a system that uses a genetic algorithm to train a robot for a generalised test environment, then an evolutionary strategy to investigate the effect of continuing the evolution as the robot progresses with its task.
The paper concludes that continuing evolution after a training phase has an important role to play in producing truly adaptive robots.