UWRange: An Open ROS Framework for Simulating Acoustic Ranging and Localization for Underwater Robots under Realistic Conditions

Fabian Steinmetz, Daniel A. Duecker, Nils Sichert, Christian Busse, E. Kreuzer, C. Renner
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Abstract

Considering realistic characteristics of acoustic localization methods is crucial for roboticists when developing guidance and control algorithms for small and agile underwater robots. Current simulators either rely purely on geometric distancing, i.e. do not consider dynamic effects such as robot motion during acoustic signal propagation, or they are too complex for usage by non-communication experts and, thus, vulnerable to misconfiguration. We propose an open ROS-based framework that extends existing robot simulators (e. g. Gazebo) by simulating the effects of realistic acoustic ranging for underwater robot localization. Thus, our simulator enables realistic real-time analysis and evaluation of guidance, navigation, and control algorithms in software in-the-loop systems. For this purpose, we incorporate and encapsulate the non-trivial characteristics of acoustic communication and ranging such as robot motion during signal propagation, packet reception failure, and modem timings. This ensures the applicability of the tool by roboticists who are typically non-experts in acoustic communication and guarantees accurate and realistic simulation results. We demonstrate the functionality and performance of our framework and validate it on real-world experimental data on the example of a two-way ranging method. Our open-source release includes well-defined interfaces and parameters as well as a tutorial. This targets other roboticists who can either use our framework directly or easily adapt it to their individual setup, e. g., by adding further acoustic-ranging protocols.
UWRange:一个开放的ROS框架,用于模拟水下机器人在现实条件下的声测距和定位
在开发小型敏捷水下机器人的制导和控制算法时,考虑声定位方法的现实特性是至关重要的。目前的模拟器要么纯粹依赖于几何距离,即不考虑声信号传播过程中机器人运动等动态影响,要么对于非通信专家来说过于复杂,因此容易出现配置错误。我们提出了一个开放的基于ros的框架,通过模拟水下机器人定位的真实声学测距效果来扩展现有的机器人模拟器(例如Gazebo)。因此,我们的模拟器能够在软件在环系统中对制导、导航和控制算法进行现实的实时分析和评估。为此,我们整合并封装了声学通信和测距的重要特征,如机器人在信号传播期间的运动、数据包接收失败和调制解调器定时。这确保了机器人专家(通常不是声学通信方面的专家)对该工具的适用性,并保证了准确和真实的仿真结果。我们展示了我们的框架的功能和性能,并以双向测距方法为例在真实世界的实验数据上进行了验证。我们的开源版本包括定义良好的接口和参数以及教程。这针对的是其他机器人专家,他们可以直接使用我们的框架,也可以很容易地将其适应他们的个人设置,例如,通过添加进一步的声学测距协议。
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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