NRI: Collaborative Research: Targeted Observation of Severe Local Storms Using Aerial Robots

NRI：合作研究：使用空中机器人对局部严重风暴进行有针对性的观测

• 批准号: 1527919
• 负责人: Eric Frew
• 金额: $ 61.19万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1527919&HistoricalAwards=false
• 关键词: NRI; Collaborative; Research; Targeted; Observation

This project addresses the development of self-deploying aerial robotic systems that will enable new in-situ atmospheric science applications. Fixed-wing aerial robotic technology has advanced to the point where platforms fly persistent sampling missions far from remote operators. Likewise, complex atmospheric phenomena can be simulated in near real-time with increasing levels of fidelity. Furthermore, cloud computing technology enables distributed computation on large, dynamic data sets. Combining autonomous airborne sensors with environmental models dispersed over multiple communication and computation channels enables the collection of information essential for examining the fundamental behavior of atmospheric phenomena. The aerial robotic system proposed here will close significant capability gaps in conventional platform's abilities to collect the data necessary to answer a wide range of scientific questions. The motivating application for this work is improvement in the accuracy and lead-time of tornado warnings.The proposed project draws on techniques in the areas of robotics, unmanned systems, networked control, wireless communication, active sensing, and atmospheric science to realize the vision of bringing cloud robotics to the clouds. The autonomous self-deploying aerial robotic systems is comprised of multiple robotic sensors and distributed computing nodes including: multiple fixed-wing unmanned aircraft, deployable Lagrangian drifters, mobile Doppler radar, mobile command and control stations, distributed computation nodes in the field and in the lab, a net-centric middleware connecting the dispersed elements, and an autonomous decision-making architecture that closes the loop between sensing in the field and new online numerical weather prediction tools.

该项目介绍了自动开发的空中机器人系统的开发，该机器人系统将启用新的原位大气科学应用。固定翼航空机器人技术已经发展到平台飞行持续采样任务远非远程操作员的地步。同样，随着富裕程度的增加，可以实时实时模拟复杂的大气现象。此外，云计算技术可以在大型动态数据集上进行分布式计算。将自主空气传感器与环境模型相结合，分散在多个通信和计算渠道上，可以收集研究大气现象的基本行为所必需的信息。此处提出的空中机器人系统将弥合常规平台能力的显着能力差距，以收集回答广泛科学问题所需的数据。这项工作的激励应用是提高了龙卷风警告的准确性和交付时间。拟议的项目借鉴了机器人技术，无人系统的控制，网络控制，无线通信，主动传感和大气科学领域的技术，以实现愿景将云机器人技术带入云。自主自动部署的空中机器人系统由多个机器人传感器和分布式计算节点组成，包括：多个固定翼无人飞机，可部署的Lagrangian Drifters，Mobile Doppler Radar，移动命令和控制台，移动命令和控制站，在现场和现场和分布式计算节点实验室，一种以网络为中心的中间件，连接分散元素，也是一种自动决策架构，可在现场传感与新的在线数值天气预测工具之间关闭环路。