Evolutionary Approach to Learning in Robots

摘要

Evolutionary learning methods have been found to be useful in several areas inthe development of intelligent robots. In the approach described here, evolutionary algorithms are used to explore alternative robot behaviors within a simulation model as a way of reducing the overall knowledge engineering effort. This paper presents some initial results of applying the SAMUEL genetic learning system to a collision avoidance and navigation task for mobile robots. (AN).