Simulating a swarm of heterogeneous UAVs for Road Assessment during emergencies using the Yellowstone Supercomputer
UAVs are capable of autonomous flight to a destination using GPS or other navigation methods, but are however constrained by their power and radio range. When multiple UAVs are used in a collaborative environment to achieve a common goal, like for example maximizing the coverage of an area, navigation strategies should address how to control them cooperatively, taking into account the UAVs constraints, different characteristics and potential failures.
This research explores solutions to this problem by testing different optimization algorithms in a simulated environment. The use of the supercomputer is required because of the complexity of the search space, paired with the computational requirements associated with simulating each UAV as an individual agent.