Autonomous control laws for mobile robotic surveillance swarms

Abstract

We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.