Investigating the Democracy Behavior of Swarm Robots in the Case of a Best-of-n Selection

Yann Pochon, Rolf Dornberger, Vivienne Jia Zhong, S. Korkut
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引用次数: 2

Abstract

In swarm robotics, a challenging task is to let the decentralized acting agents make a joint decision, when the individual robots of the swarm only have partial knowledge of the search space. In this paper, we propose a new nature-inspired method for decision-making in the case of a best-of-n selection, investigating the democracy behavior of honeybees and implementing it in swarm robots. The feasibility of our model is tested using a swarm consisting of real hardware robots, the so-called Kilobots. It is shown that our proposed democratic model proves to be resistant to malicious manipulation in the consensus-finding process. Thus, the democracy behavior of honeybees implemented in swarm robots robustly finds the best-of-n selection.
群机器人在最优化选择情况下的民主行为研究
在群体机器人中,一个具有挑战性的任务是,当群体中的单个机器人对搜索空间只有部分知识时,让分散的代理进行联合决策。在本文中,我们提出了一种新的自然启发的决策方法,在最佳选择的情况下,研究蜜蜂的民主行为,并在群体机器人中实现它。我们的模型的可行性是用一群真正的硬件机器人,即所谓的Kilobots来测试的。结果表明,我们提出的民主模式在寻求共识的过程中能够抵抗恶意操纵。因此,在群体机器人中实现蜜蜂的民主行为可以鲁棒地找到最优选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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