戴夫水生虚拟环境:迈向通用水下机器人模拟器

Mabel M. Zhang, Woen-Sug Choi, Jessica Herman, D. Davis, Carson Vogt, Michael McCarrin, Yadunund Vijay, Dharini Dutia, William Lew, Steven C. Peters, B. Bingham
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引用次数: 6

摘要

我们提出DAVE水生虚拟环境(DAVE)1,一个用于水下机器人、传感器和环境的开源仿真堆栈。传统的机器人模拟器并不是为解决海洋环境带来的独特挑战而设计的,包括但不限于空间和时间变化的环境条件,受损或具有挑战性的感知,以及在一般未开发的环境中无法获得数据。考虑到传感器和平台的多样性,车轮经常被重新设计用于特定的用例,这不可避免地会阻碍更广泛的采用。在现有模拟器的基础上,我们提供了一个框架,以帮助加快算法的开发和评估,否则将需要昂贵且耗时的海上操作。该框架包括基本的构建模块(例如,新车辆,水跟踪多普勒速度记录器,基于物理的多波束声纳)以及开发工具(例如,动态测深产卵,洋流),这允许用户专注于方法而不是软件基础设施。我们通过示例场景、水深数据导入、用于数据检查的用户界面和用于操作的运动规划以及可视化来演示使用。dave可在https://github.com/Field-Robotics-Lab/dave找到
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DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator
We present DAVE Aquatic Virtual Environment (DAVE)1, an open source simulation stack for underwater robots, sensors, and environments. Conventional robotics simulators are not designed to address unique challenges that come with the marine environment, including but not limited to environment conditions that vary spatially and temporally, impaired or challenging perception, and the unavailability of data in a generally unexplored environment. Given the variety of sensors and platforms, wheels are often reinvented for specific use cases that inevitably resist wider adoption.Building on existing simulators, we provide a framework to help speed up the development and evaluation of algorithms that would otherwise require expensive and time-consuming operations at sea. The framework includes basic building blocks (e.g., new vehicles, water-tracking Doppler Velocity Logger, physics-based multibeam sonar) as well as development tools (e.g., dynamic bathymetry spawning, ocean currents), which allows the user to focus on methodology rather than software infrastructure. We demonstrate usage through example scenarios, bathymetric data import, user interfaces for data inspection and motion planning for manipulation, and visualizations.1DAVE is available at https://github.com/Field-Robotics-Lab/dave
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