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Controlling Remotely Operated Vehicles with Deterministic Artificial Intelligence
Unmanned ocean vehicles can be guided and controlled autonomously or remotely, and even remote operation can be automated significantly. Classical methods use trajectory tracking errors in negative feedback. Recently published methods are proposed instead. Deterministic (non-stochastic) artificial intelligence (DAI) combines optimal learning with an asserted self awareness statement in the form of the governing mathematical model (based on physics in this instantiation) to allow control thatdoi:10.3390/app12062810 fatcat:srqxfpimfje5llfbxb2dwytl6q