par Brutschy, Arne ;Scheidler, Alexander ;Ferrante, Eliseo ;Dorigo, Marco ;Birattari, Mauro
Référence Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems, page (4272-4273), 6386273
Publication Publié, 2012
Article révisé par les pairs
Résumé : In 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. © 2012 IEEE.