Robot Swarm Flocking on a 2D Triangular Graph

A. Cheraghi, Asma Ben Janete, Kalman Graffi
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引用次数: 4

Abstract

Flocking behavior in swarms is phenomenal. Many small entities are interacting to form a large shape and to protect themselves from bigger entities. An examples are fish, they become a flock to be safe from predators. The way of how flocks move without getting separated, having a constant speed and not interfering each other is known as the flocking problem. In this paper, we build up a the three-zones flocking model on a two dimensional triangular graph to solve the flocking problem and evaluate the impact of changes in the separation, alignment and cohesion zone sizes on the flocking behavior.
二维三角图上的机器人群体群集
蜂群中的群集行为是现象级的。许多小实体相互作用形成一个大的形状,并保护自己免受更大实体的侵害。鱼就是一个例子,它们聚集在一起是为了躲避捕食者。羊群如何移动而不分开,保持恒定的速度,不互相干扰的方式被称为群集问题。本文在二维三角图上建立了一个三区群集模型来解决群集问题,并评价了分离区、对齐区和内聚区大小的变化对群集行为的影响。
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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