SBIR-STTR Award

The purpose of this research was to assess the feasibility of replicating human ship control with an artificially intelligent neurocontroller which can learn the motion hydrodynamics of a large tanker and make intelligent steering control actions. The research methodology involved training two separate neural networks; one for learning tanker hydrodynamics and a second controller network. The commercial potential of this technology is a system that automatically "imprints" or learns ship hydrodynamics and uses this knowledge for precise control functions