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A marsupial robotic system for surveying and inspection of freshwater ecosystems

机译:用于淡水生态系统测量和检查的MASSUPIAL机器人系统

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摘要

Freshwater ecosystems are vast areas that are constantly changing and evolving. To maintain the ecosystem as well as the structures located close to bodies of water, frequent monitoring is required. Although dangerous and time consuming, manual operations are the conventional way of monitoring such areas. Recently, Autonomous Surface Vehicles (ASVs) have been proposed to undertake the monitoring task. As any other platform, ASVs have limitations, such as a restricted point of view and access only where the water is sufficiently deep. Unmanned Aerial Vehicles (UAVs) can fly over any terrain and provide a "bird's-eye-view" of the environment. However, UAVs have limited operational time due to power constraints. Heterogeneous marsupial robotic systems use different types of robots to augment their operation envelope, taking advantage of their individual strengths. A marsupial survey system comprised an ASV and a UAV for freshwater monitoring is developed and presented in this paper. This system is able to complete long missions and reach remote locations while also being able to generate detailed maps and inspections of points of interest. The system was thoroughly tested during a 6-month period in a number of field deployments in freshwater ecosystems at Lake Murray and at the Congaree River, SC, USA, to validate its capabilities.
机译:淡水生态系统是不断变化和不断发展的巨大区域。为了维持生态系统以及靠近水体的结构,需要频繁的监控。虽然危险和耗时,手动操作是监测此类区域的传统方式。最近,已经提出了自主地面车辆(ASV)进行监测任务。作为任何其他平台,ASV都有局限性,例如仅在水足够深处的限制的观点和访问点。无人驾驶航空公司(无人机)可以飞过任何地形,并提供环境的“鸟瞰”。但是,由于功率约束,无人机的操作时间有限。异构浆机器机器人系统使用不同类型的机器人来增强其操作信封,利用他们的个性化的优势。在本文中开发并介绍了一个MARSupial调查系统,包括ASV和UAV进行淡水监测。该系统能够完成长期任务并达到远程位置,同时也能够生成详细的映​​射和对景点的检查。该系统在默里湖和康涅尔河畔南部的淡水生态系统中的一些现场部署的6个月内进行了彻底测试,以验证其能力。

著录项

  • 来源
    《Journal of Robotic Systems》 |2021年第1期|121-138|共18页
  • 作者单位

    Department of Mechanical Engineering University of South Carolina Columbia South Carolina;

    Department of Computer Science and Engineering University of South Carolina Columbia South Carolina;

    Department of Mechanical Engineering University of South Carolina Columbia South Carolina;

    Department of Computer Science and Engineering University of South Carolina Columbia South Carolina;

    Department of Computer Science and Engineering University of South Carolina Columbia South Carolina;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cooperative robots; environmental monitoring; robot teaming;

    机译:合作机器人;环境监测;机器人合作;

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