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Analysis of long-term swarm performance based on short-term experiments

par Khaluf, Yara;Birattari, Mauro ;Rammig, Franz
Référence Soft Computing, 20, 1, page (37-48)
Publication Publié, 2016

Article révisé par les pairs

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Résumé :

Swarm robotics is a branch of collective robotics systems that offers a set of remarkable advantages over other systems. The global behavior of swarm systems emerges from the local rules implemented at the individual level. Therefore, characterizing a global performance obtained at the swarm level is one of the main challenges, especially under complex dynamics such as spatial interferences. In this paper, we exploit the central limit theorem to analyze and characterize the swarm performance over long-term deadlines. The developed model is verified on two tasks: a foraging task and an object filtering task.