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|
|Editors||B. Hallam, D. Floreano, J. Meyer, G. Hayes|
|Number of pages||2|
|Publication status||Published - 2002|