CORNET: A Co-Simulation Middleware for Robot Networks

Srikrishna Acharya, B. Amrutur, Yogesh L. Simmhan, Aditya Gopalan, Parimal Parag, Himanshu Tyagi
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引用次数: 15

Abstract

This paper describes CORNET, a co-simulation middleware for applications involving multi-robot systems like a network of Unmanned Aerial Vehicle (UAV) systems. Design of such systems requires knowledge of the flight dynamics of UAVs and the communication links connecting UAVs with each other or with the ground control station. Besides, UAV networks are dynamic and distinctive from other ad-hoc networks and require protocols that can adapt to high-mobility, dynamic topology and changing link quality in power constrained resource platforms. Therefore, it is necessary to co-design the UAV path planning algorithms and the communication protocols. The proposed co-simulation framework integrates existing tools to simulate flight dynamics and network related aspects. Gazebo with robot operating system (ROS) is used as a physical system UAV simulator and NS-3 is used as a network simulator, to jointly capture the cyber-physical system (CPS) aspects of the multi-UAV systems. A particular aspect we address is on synchronizing time and position across the two simulation environments, and we provide APIs to allow easy migration of the algorithms to real platforms.
CORNET:机器人网络的协同仿真中间件
本文介绍了CORNET,一个用于多机器人系统(如无人机系统网络)应用的协同仿真中间件。这种系统的设计需要无人机的飞行动力学知识和连接无人机彼此或与地面控制站的通信链路。此外,无人机网络是动态的,与其他ad-hoc网络不同,需要能够适应高移动性、动态拓扑和功率受限资源平台中不断变化的链路质量的协议。因此,有必要对无人机路径规划算法和通信协议进行协同设计。提出的联合仿真框架集成了现有的模拟飞行动力学和网络相关方面的工具。带有机器人操作系统(ROS)的Gazebo被用作无人机物理系统模拟器和NS-3被用作网络模拟器,共同捕获多无人机系统的网络物理系统(CPS)方面。我们解决的一个特殊方面是在两个模拟环境中同步时间和位置,我们提供api以允许将算法轻松迁移到真实平台。
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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