Fleet of autonomous submersible vehicles including a tactical capability

A group (or swarm) of two or more autonomous underwater vehicles (AUVs), each AUV comprising:

• a. a plurality of sensors enclosed within a housing of the AUV comprising one or more inertial navigation units, one or more communication systems, a laser-based LiDAR (Light Distancing and Ranging) system, a video camera, a GPS (Global Positioning System) antenna, a CPU (Computer Processing Unit), one or more sonar systems, one or more chemical sensors, and a depth sensor;
• b. a targeting system including a generative learning system comprising at least one processor and at least one memory configured to implement a deployed learning network model, the deployed learning network model generated from a training network, wherein the training network is tuned using features extracted from a set of data received from the one or more sensors in the group of autonomous underwater vehicles, and wherein data associated with each of the one or more sensors indicates a targeting model, the at least one processor configured to at least:
• i. automatically process a first set of data using the deployed learning network model to identify a target, track a target position, and provide the AUV with a trajectory to monitor or intercept the target;
• and
• ii. compute the trajectory metric associated with the set of data using the deployed learning network model by leveraging the features and associated target value for the target trajectory to determine the associated trajectory for the group of autonomous underwater vehicles.