Abstract
The paper describes a biologically inspired navigation system based on attractor selection mechanism. The robot can reach a particular signal source as a goal, with only a simple sensor and without a model of the environment. It is, therefore, robust to changes in the environment. The novelty of this approach is that it utilizes noise in the navigation to keep the robot searching for the goal. Experimental results of simulation and real-robot experiment are shown.