RI: Small: Collaborative Research: Distributed Heterogeneous Ocean Robots for Detecting and Monitoring Oil Plumes

RI：小型：协作研究：用于检测和监测油羽的分布式异构海洋机器人

• 批准号: 1217659
• 负责人: Brian Bingham
• 金额: $ 19.93万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1217659&HistoricalAwards=false
• 关键词: RI; Small; Collaborative; Research; Distributed

This collaborative project addresses the need for ocean observational techniques which was highlighted by the recent Deepwater Horizon incident. The proposed project investigates heterogeneous ocean robots (including wave gliders, unmanned surface vessels, and autonomous underwater vehicles) to detect and monitor the propagation of oil plumes. Specific objectives include: 1) the development of a distributed multi-robot cooperative deployment algorithm using partial differential equation (PDE) based methods that match the oceanographic model of oil transport, 2) the development of authentic dynamic model of the new wave glider platform to incorporate in the cooperative control, and 3) assessing the potential advantages of innovative algorithms through simulations and experimental demonstration in a coastal experiment using a network of ocean robot platforms.Broader Impacts: The proposed project will provide novel algorithmic and software support for collective sensing, and address a pressing real-world need for better sensing of underwater hydrocarbon plumes. The techniques developed in the proposal will have long-term impacts in underwater exploration such as oceanographic survey and energy production in deep water. The results may also potentially benefit other environmental monitoring tasks with underlying diffusion and advection processes, such as weather event tracking and climate prediction. The planned work will integrate research projects with education activities through robot-centric undergraduate and graduate education, robotics competition, short course and workshop development, and outreach to K-12 education. Partnering with the Stevens' Center for Innovation in Engineering and Science Education, the project will showcase the proposed research in the curriculum of the Stevens Build IT Underwater Robotics Scale-Up for STEM Learning and Workforce Development Project awarded by NSF.

该合作项目解决了对海洋观测技术的需求，最近的深水地平线事件凸显了这一点。该项目研究异构海洋机器人（包括波浪滑翔机、无人水面舰艇和自主水下航行器）来检测和监测油羽的传播。具体目标包括：1）使用基于偏微分方程（PDE）的方法开发分布式多机器人协作部署算法，与石油运输的海洋学模型相匹配；2）开发新型波浪滑翔机平台的真实动态模型纳入协作控制，3）通过使用海洋机器人平台网络的沿海实验中的模拟和实验演示来评估创新算法的潜在优势。更广泛的影响：该项目将为集体感知提供新颖的算法和软件支持，并解决紧迫的问题现实世界需要更好地感知水下碳氢化合物羽流。该提案中开发的技术将对海洋学调查和深水能源生产等水下勘探产生长期影响。结果还可能有利于其他具有潜在扩散和平流过程的环境监测任务，例如天气事件跟踪和气候预测。计划的工作将通过以机器人为中心的本科生和研究生教育、机器人竞赛、短期课程和研讨会开发以及 K-12 教育推广，将研究项目与教育活动结合起来。该项目与史蒂文斯工程和科学教育创新中心合作，将展示美国国家科学基金会授予的史蒂文斯为 STEM 学习和劳动力发展项目构建 IT 水下机器人扩展项目课程中拟议的研究。