OpenUAV: A UAV Testbed for the CPS and Robotics Community

Matt Schmittle, Anna Lukina, L. Vacek, J. Das, C. V. Buskirk, Stephen A. Rees, J. Sztipanovits, R. Grosu, Vijay R. Kumar
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引用次数: 39

Abstract

Multirotor Unmanned Aerial Vehicles (UAV) have grown in popularity for research and education, overcoming challenges associated with fixed wing and ground robots. Unfortunately, extensive physical testing can be expensive and time consuming because of short flight times due to battery constraints and safety precautions. Simulation tools offer a low barrier to entry and enable testing and validation before field trials. However, most of the well-known simulators today have a high barrier to entry due to the need for powerful computers and the time required for initial set up. In this paper, we present OpenUAV, an open source test bed for UAV education and research that overcomes these barriers. We leverage the Containers as a Service (CaaS) technology to enable students and researchers carry out simulations on the cloud. We have based our framework on open-source tools including ROS, Gazebo, Docker, PX4, and Ansible, we designed the simulation framework so that it has no special hardware requirements. Two use-cases are presented. First, we show how a UAV can navigate around obstacles, and second, we test a multi-UAV swarm formation algorithm. To our knowledge, this is the first open-source, cloud-enabled testbed for UAVs. The code is available on GitHub: https://github.com/Open-UAV.
OpenUAV:用于CPS和机器人社区的无人机测试平台
多旋翼无人机(UAV)在研究和教育方面越来越受欢迎,克服了与固定翼和地面机器人相关的挑战。不幸的是,由于电池限制和安全预防措施,飞行时间很短,因此广泛的物理测试既昂贵又耗时。模拟工具的进入门槛较低,能够在现场试验之前进行测试和验证。然而,由于需要强大的计算机和初始设置所需的时间,今天大多数知名的模拟器都有很高的进入门槛。在本文中,我们提出了OpenUAV,一个用于无人机教育和研究的开源测试平台,克服了这些障碍。我们利用容器即服务(CaaS)技术,使学生和研究人员能够在云上进行模拟。我们的框架基于开源工具,包括ROS、Gazebo、Docker、PX4和Ansible,我们设计的仿真框架没有特殊的硬件要求。给出了两个用例。首先,我们展示了无人机如何绕过障碍物,其次,我们测试了一个多无人机群编队算法。据我们所知,这是第一个开源的、云支持的无人机测试平台。代码可在GitHub上获得:https://github.com/Open-UAV。
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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