Fleetbot

what we do

We use objective optimisation algorithms in a predictive environmental model, combining vehicle capabilities, the ‘job’ in hand and real world input, TO control your FLeet

Cognitive Command

This is the operator (you) in overall command as usual.

Somatic Management

Deals with security alerts, bathymetry, AIS traffic etc. within pre-determined sensitivity limits.

autonomic Management

Optimal initial value instructions are updated with re-evaluated optimal modified field instructions when necessary

HOW it WORKS

Finding the optimal solution in survey parameter space using a genetic algorithm approach

OPTIMISATION ALGORITHMS

The optimization algorithms simulate vehicle tasking through an environmental forecast using a virtual autopilot. The mission goal and the sampling parameter options create a cost function, and the simulations calculate the cost function value for each ensemble. By choosing the minimum cost function value, the optimal solution ensemble is selected.

VIRTUAL AUTOPILOT

The virtual autopilot is heading focussed using a modelled environment. It monitors ‘past’ ability to help predict and correct future outcomes. Implicitly energy conscious, it uses currents respectfully ensuring net heading progress is prioritised.

FLEETBOT

This is FLEETBOT