Cost effective navigation of mobile robots

The navigation of a robot from a source to a target location is a process that requires the gathering and use of environmental information. This process is costly in terms of both sensor equipment and computer processing power. This thesis attempts to minimise these costs by looking at minimal environment information. This is to be achieved using readily available components and computer algorithms designed to make the most of the information collected. A simple implementation of Dead Reckoning has been employed to demonstrate the gains made. Significant savings can be achieved using these methods.