Brutschy, A.A.BrutschyScheidler, A.A.ScheidlerFerrante, E.E.FerranteDorigo, M.M.DorigoBirattari, M.M.Birattari2022-03-122022-03-122012https://publica.fraunhofer.de/handle/publica/37877010.1109/IROS.2012.6386273In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks that go beyond their individual capabilities [1], [2]. The interactions among the robots are based on simple behavioral rules that exploit only local information. The robots in a swarm have neither global knowledge, nor a central controller. Therefore, decisions in the swarm have to be taken in a distributed manner based on local interactions. Because of these limitations, the design of collective decision-making methods in swarm robotic systems is a challenging problem. Moreover, the collective decision-making method must be efficient, robust with respect to robot failures, and scale well with the size of the swarm.enconference paper