Computational Tools for Active Sampling in Aquatic and Uncontrolled Environments

用于水生和不受控制环境中主动采样的计算工具

• 批准号: RTI-2017-00888
• 负责人: Dudek, Gregory
• 金额: $ 10.08万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=616782
• 关键词: Computational; Tools; Active; Sampling; Aquatic

This equipment supports the collection and analysis of environmental data from aquatic environments including lake, rivers and the ocean. As basic robotics science has matured it is becoming possible to collect data of wide regions of space, and make measurements that may be profound scientific implications. This grant propose the acquisition and user of several sensor technologies to allow robotic systems to make short term and long term measurements of water quality and marine habitats, both in Canadian waters and in the open ocean. A key aspect of this work is determining how and where (and when) robots can efficiently make measurements to make the best use of limited sensing resources and get the most accurate picture of the environment.

该设备支持从湖泊、河流和海洋等水生环境中收集和分析环境数据。随着基础机器人科学的成熟，收集广阔空间的数据并进行可能具有深远科学意义的测量变得可能。该补助金提议收购和使用几种传感器技术，使机器人系统能够对加拿大沃茨和公海的水质和海洋栖息地进行短期和长期测量。这项工作的一个关键方面是确定机器人如何以及在何处（以及何时）有效地进行测量，以充分利用有限的传感资源，并获得最准确的环境图像。