Phototactic Movement of Battery-Powered and Self-Charging Robot Swarms

A. Cheraghi, Fabio Schloesser Vila, Kalman Graffi
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引用次数: 3

Abstract

In biology, phototaxing is one of the many forms of directed motions that organisms can exhibit. If stimulated by light, these organisms can move towards or away from the source. In this paper we present an algorithm that is reliably capable of moving a swarm of virtual robots away from a light source, all while the individual virtual robots are incapable of determining the direction and origin of the light source. The individual agents cannot generate phototactic behavior by themselves, instead this is realized through the overall, emergent behavior of the swarm. This paper explores an algorithm to produce phototactic movement in swarms of virtual robots. The algorithm is developed so that robots in a swarm of any size can execute it in a decentralized fashion, without the need for any globalized control or communication between them. We explore two different sets of virtual robots, one with self-charging and one with battery-powered characteristics. In a rigorous testing and evaluation we find that the swarms behavior and performance with regards to moving away from a light source varies strongly.
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电池供电和自充电机器人群的光致运动
在生物学中,光征税是生物体可以表现出的许多定向运动形式之一。如果受到光的刺激,这些生物可以靠近或远离光源。在本文中,我们提出了一种算法,该算法能够可靠地移动一群虚拟机器人远离光源,而单个虚拟机器人无法确定光源的方向和起源。个体个体不能自己产生趋光行为,而是通过群体整体的紧急行为来实现。本文研究了一种在虚拟机器人群中产生光致运动的算法。该算法的开发使得任何规模的机器人都可以以分散的方式执行它,而不需要任何全球化的控制或它们之间的通信。我们研究了两组不同的虚拟机器人,一组具有自我充电功能,另一组具有电池供电功能。在严格的测试和评估中,我们发现蜂群的行为和性能在远离光源时变化很大。
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