A Robust Navigation Model for an Autonomous Mobile Robot

This paper reports on preliminary work with an adaptive multi-representational approach to modelling the real world. The proposed method operates in real time, accounts for low accuracy in the robots sensors, requires minimal computational resources and leads to the implementation of efficient path planning algorithms. Experiments are currently being conducted on a mobile indoor robot. In the longer term, this work will be extended to an outdoor farm vehicle.