BeeGround -大规模蜂群机器人应用的开源仿真平台

Sean Lim, Shiyi Wang, B. Lennox, F. Arvin
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引用次数: 4

摘要

本文提出了一个开源仿真平台,用于实现同构和异构机器人群场景。BeeGround是一种完全模块化的仿真软件,允许使用不同的机器人平台和人口规模进行各种实验设置。用户可以定义环境条件,例如大小,各种属性,如温度和湿度,以及障碍物的安排。群体控制器,即个体的行为,是用一个单独的编程脚本定义的。本文以模拟蜜蜂聚集机制为例,对所开发的模拟平台的可行性进行了研究。结果表明,开发的平台是一种可靠的仿真软件,可用于实现非常大的种群规模(例如1000个机器人)的多智能体和群体机器人场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BeeGround - An Open-Source Simulation Platform for Large-Scale Swarm Robotics Applications
This paper presents an open-source simulation platform developed for implementation of both homogeneous and heterogeneous robotic swarm scenarios. BeeGround is a fully modular simulation software that allows for a variety of experimental setups with different robotic platforms and population sizes. Users are able to define environmental conditions, e.g. size, various properties like temperature and humidity, and obstacles arrangements. The swarm controller, the individual's behaviour, is defined with a separate programming script. In this paper, we simulated honeybees aggregation mechanism as a case study to investigate the feasibility of the developed simulation platform. The results demonstrated that the developed platform is a reliable simulation software for implementing multi-agent and swarm robotics scenarios with very large population sizes, e.g. 1000 robots.
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