使用开源软件的多代理框架

E. Jones, Dakota Adra, Md. Suruz Miah
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引用次数: 1

摘要

本文提出了一种新的基于开源软件(MAFOSS)的多智能体框架。所提出的框架是一个模块化和成本效益的开源硬件和软件平台,旨在帮助开发用于研究和教育的多代理系统。迄今为止,文献中已经开发了许多多智能体平台,用于各种机器人应用,如监视、目标定位、协作估计等。然而,它们中的大多数要么是针对特定的应用程序定制的,要么是由昂贵的软件和硬件驱动的。所提出的MAFOSS系统是为机器人应用而开发的,其中一组移动代理(机器人)被部署来实现一个共同的目标。MAFOSS系统的一个主要贡献是开发了用于差动驱动移动机器人(这里称为“eduMOD”移动机器人)的开放硬件平台。当前框架的软件架构主要依赖于机器人操作系统(ROS)。无论内部硬件和/或软件架构如何,都可以将适当的动作应用于个人或移动代理团队的执行器,以控制其运动。已经进行了一些案例研究来评价MAFOSS的性能。
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MAFOSS: Multi-Agent Framework using Open-Source Software
This paper presents a new multi-agent framework using open-source software (MAFOSS). The proposed framework is a modular and cost-effective open-source hardware and software platform that is intended to help develop multiagent systems for research and education. Numerous multi-agent platforms have been developed in the literature to date that are used in various robotic applications, such as surveillance, target localization, cooperative estimation, among others. However, most of them are either tailored towards particular applications or driven by expensive software and hardware. The proposed MAFOSS system is developed for robotic applications, where a team of mobile agents (robots) is deployed to achieve a common goal. A major contribution of the MAFOSS system is the development of an open-hardware platform for differential-drive mobile robots (herein called “eduMOD” mobile robots). The software architecture of the current framework mostly relies on the robot operating system (ROS). Regardless of internal hardware and/or software architecture, appropriate actions can be applied to actuators of an individual or a team of mobile agents for controlling their motions. A few case studies have been conducted to evaluate the performance of MAFOSS.
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