An implementation of ROS on the Yellowfin autonomous underwater vehicle (AUV)

Kevin J. DeMarco, M. West, T. Collins
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引用次数: 42

Abstract

The design, testing, and mission execution of a network of autonomous underwater vehicles (AUV) is a difficult process. The design of low-level controllers requires high-fidelity hydrodynamic models for simulation, but the testing of a large network of AUVs with high-order models is computationally challenging. Also, efficiency is achieved when developers can reuse components already implemented and tested by others in the community. An integrated development system is discussed where the Robot Operating System (ROS) is used to interface a number of individual systems that could not natively communicate. The system integrates the low-level controller simulation, mission planning, and mission execution processes. Most importantly, ROS was integrated with the Mission Oriented Operating Suite (MOOS), which allowed for the use of both ROS and MOOS applications within the same robotic platform via the MOOS/ROS Bridge application. Also, the 3D globe mapping program, NASA WorldWind, was interfaced to ROS via rosjava. The target AUV for the ROS implementation was the GTRI Yellowfin, which was developed for multiple AUV collaborative missions.
ROS在黄鳍自主水下航行器(AUV)上的实现
自主水下航行器(AUV)网络的设计、测试和任务执行是一个困难的过程。低阶控制器的设计需要高保真的流体动力学模型进行仿真,但对具有高阶模型的大型auv网络进行测试在计算上具有挑战性。此外,当开发人员可以重用社区中其他人已经实现和测试过的组件时,效率也会得到提高。本文讨论了一个集成开发系统,其中机器人操作系统(ROS)用于连接许多无法本地通信的独立系统。该系统集成了低级控制器仿真、任务规划和任务执行过程。最重要的是,ROS与任务导向操作套件(MOOS)集成,允许通过MOOS/ROS桥应用程序在同一机器人平台内使用ROS和MOOS应用程序。此外,3D全球地图程序,NASA WorldWind,通过rosjava与ROS接口。ROS实施的目标AUV是GTRI Yellowfin,它是为多个AUV协作任务而开发的。
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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