A CBR approach to Behaviour-Based Navigation for an Autonomous Mobile Robot

This paper presents a new CBR navigation scheme based on three behaviours: wall following, corridor following and door crossing. The system switches among CBR behaviours depending on a local grid built around the robot from sonar sensor readings. The main advantage of the proposed system is that it can easily adapt to any robot and environment, learning, both by training and by its own experience. The method has been successfully tested in real environments with a Pioneer robot equipped with 8 frontal sonar sensors.