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.
|Title of host publication
|From animals to animats 7
|Subtitle of host publication
|Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior
|B. Hallam, D. Floreano, J. Meyer, G. Hayes
|Number of pages
|Published - 2002