Design of expert systems for autonomous underwater vehicle control

The development process of an intelligent autonomous underwater vehicle (AUV) is based on experiential knowledge leading to uncertainty in the software development for the intelligent AUV control. In this work we suggest an expert system to implement the AUV control software because expert systems handle uncertainty during the development process better than conventional, procedural programming languages. Furthermore, we provide design principles for the system architecture and the expert system. Finally, we present preliminary evaluation results on our designated computer hardware for the AUV we develop in a joint research project.