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

机译:电池供电的自动充电机器人的光战术运动

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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.
机译:在生物学中,光税收是生物体可以表现出的多种定向运动之一。如果受到光的刺激,这些生物可以朝着或远离光源移动。在本文中,我们提出了一种算法,该算法能够可靠地将虚拟机器人群从光源移开,而各个虚拟机器人都无法确定光源的方向和原点。单个代理无法自行产生光战术行为,而是通过整个群体的整体紧急行为来实现的。本文探讨了一种在虚拟机器人群中产生光战术运动的算法。开发了该算法,以便任何规模的机器人都可以以分散的方式执行该算法,而无需它们之间的任何全局控制或通信。我们探索了两组不同的虚拟机器人,一组具有自充电功能,另一组具有电池供电的特性。在严格的测试和评估中,我们发现群集在远离光源方面的行为和性能差异很大。

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