基于NetLogo的大规模多智能体仿真多机器人探索问题

I. Muscalagiu, Cosmina Illes, H. Popa
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引用次数: 7

摘要

多机器人系统由一组自主移动机器人组成,这些机器人相互协作执行任务。对未知环境的探索是多机器人系统的主要应用之一。很少有研究提出基于分布式约束的多智能体技术的多机器人协调算法来完成勘探任务。建模和仿真是包括计算机科学在内的许多科学和工程领域的重要工具。本文的目的是为NetLogo中多机器人探索问题的实现和评估提供一个开源的解决方案,用于大量的代理,模型可以在计算机集群上运行。该工具允许使用各种搜索技术,并对多机器人探索问题的情况下的技术性能进行评估和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large scale multi-agent-based simulation using NetLogo for the multi-robot exploration problem
Multi-robot systems consist in a set of autonomous mobile robots which collaborate to perform a mission. Exploration of an unknown environment is one of the major applications of Multi-Robot Systems. Few works have proposed multi-robot coordination algorithms to accomplish exploration missions based on multi-agent techniques using distributed constraints. Modelling and simulation are essential tools in many areas of science and engineering, including computer science. The purpose of this article is to present an open-source solution for implementation and evaluation of the multi-robot exploration problem in NetLogo, for a great number of agents, model that can be run on a cluster of computers. Such a tool allows the use of various search techniques and also the evaluation and analysis of performances of the techniques for the case of the multi-robot exploration problem.
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