A swarm aggregation algorithm for multi-robot systems based on local interaction
Andrea Gasparri, Attilio Priolo, Giovanni Ulivi · 2012
In this work, a swarm aggregation algorithm for multi-robot systems based on local interaction is proposed. In the considered framework, a swarm of robots is moving within an outdoor environment according to the guidance commands issued by a remote control station. Robots, which are responsible for the execution of the guidance commands, are required to show a cohesive behavior through local interactions. A theoretical validation of the swarm interaction modeling is given. Simulations along with experimental results carried out by exploiting a Kinect®-based remote control system are provided to corroborate the theoretical results.