Safety-aware control of swarms of drones

Abstract

In this paper, we propose a novel approach to ensuring safety while planning and controlling an operation of swarms of drones. We derive the safety constraints that should be verified both during the mission planning and at the run-time and propose an approach to safety-aware mission planning using evolutionary algorithms. High performance of the proposed algorithm allows us to use it also at run-time to predict and resolve in a safe and optimal way dynamically emerging hazards. The benchmarking of the proposed approach validate its efficiency and safety.