Collaborative Research: Ideas Lab: ETAUS Meshed Observations of THE Remote Subsurface with Heterogeneous Intelligent Platforms (MOTHERSHIP)

合作研究：创意实验室：ETAUS 通过异构智能平台对远程地下进行网格观测 (MOTHERSHIP)

• 批准号: 2322057
• 负责人: Xi Yu
• 金额: $ 19.17万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322057&HistoricalAwards=false
• 关键词: Collaborative; Research; Ideas; Lab; ETAUS

Melting of ice shelves by warm ocean waters destabilizes glaciers, enhancing ice flow into the ocean and contributing to global sea level rise. Measurements of ocean properties under ice shelves are needed to improve global predictions of sea level rise and to anticipate its societal consequences. Such measurements, however, are challenging to obtain. In this Ideas Lab: Engineering Technologies to Advance Underwater Sciences (ETAUS) project, a proof-of-concept mothership-and-passenger system will be developed to permit the future deployment of a highly capable, autonomous underwater vehicle (the mothership), programmed to travel as far as safely possible under ice shelves to release a swarm of novel, low-cost passenger robots that will coordinate to explore further into the ice cavity. The hardware prototypes, networked communication systems and protocols, and coordination algorithms developed as part of this project’s mothership-and-passenger system will help advance the field of underwater exploration in confined and hard-to-reach environments. The project will also foster the training of future scientists and engineers by engaging youths from small fishing communities in Oregon through presentations at Oregon’s MATE ROV Regional Competition, by employing high-school interns through the Apprenticeships in Science and Engineering (ASE) Summer Academy Program, and by training multiple undergraduate and graduate students at participating institutions.The goal of this project is to develop a mothership-and-passenger sampling system to reach difficult-to-access glacier grounding zones via the open ocean to measure the extent of ice cavities and surrounding water properties. The project will innovate along three main areas of inquiry: 1) passenger robot design, 2) acoustic communication protocols and hardware, and 3) mothership-and-passenger coordination algorithms. Novel, low-cost passenger robots will be conceived that can switch through different operation modes to optimize maneuverability, power consumption, or a combination of both, as needed for various tasks throughout a deployment. Acoustic communication protocols and hardware will be developed to prioritize robust communication between passenger robots over throughput and permit swarm self-localization by utilizing time-of-flight and angle-of-arrival between passengers to estimate relative positions. Swarm coordination algorithms will be designed to estimate flow direction and strength from the passenger robots’ relative positions to optimize navigation and power consumption. The performance of the network will be tested in increasingly challenging environments, i.e., tests will be conducted in a pool, an unfrozen lake, and finally in a frozen lake, while network capabilities with a larger swarm will be modeled to ensure the scalability of the system to ocean deployments. Finally, the software developed for the mothership-and-passenger communication and self-localization protocols will be generalizable and made available open-source to allow other research teams to adapt the system to their own needs. The mothership-and-passenger sampling system will not only advance under-ice-observation capabilities but also have wider oceanographic applications such as detection and monitoring of underwater harmful algal blooms or anoxic events threatening fisheries.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

温暖的海洋沃茨融化冰架，使冰川不稳定，增加了流入海洋的冰，并导致全球海平面上升。需要对冰架下的海洋特性进行测量，以改进对海平面上升的全球预测，并预测其社会后果。然而，获得此类测量结果具有挑战性。在Ideas Lab中：工程技术推进水下科学（ETAUS）项目，一个概念验证的母舰和乘客系统将被开发，以允许未来部署一个高性能的自主水下航行器（母舰），编程为尽可能安全地在冰架下航行，释放一群新颖的，低成本的乘客机器人，它们将协调进一步探索冰腔。作为该项目的母舰和乘客系统的一部分，开发的硬件原型、网络通信系统和协议以及协调算法将有助于推进受限和难以到达环境中的水下探索领域。该项目还将通过在俄勒冈州的MATE ROV区域竞赛中进行演讲，吸引来自俄勒冈州小渔业社区的年轻人，通过学徒计划雇用高中实习生，促进未来科学家和工程师的培训科学与工程（ASE）暑期学院计划，并通过在参与机构培训多名本科生和研究生。该项目的目标是开发一个母船-这是一个乘客取样系统，通过公海到达难以进入的冰川接地区，以测量冰腔的范围和周围水的性质。该项目将创新沿着三个主要领域的调查：1）乘客机器人设计，2）声学通信协议和硬件，以及3）母舰和乘客协调算法。新型低成本的乘客机器人将被设想为可以在不同的操作模式之间切换，以优化机动性、功耗或两者的组合，以满足整个部署过程中各种任务的需要。将开发声学通信协议和硬件，以优先考虑乘客机器人之间的强大通信，并通过利用乘客之间的飞行时间和到达角来估计相对位置，从而允许群体自定位。群协调算法将被设计成根据乘客机器人的相对位置来估计流动方向和强度，以优化导航和功耗。网络的性能将在越来越具有挑战性的环境中进行测试，即，测试将在水池、不结冰的湖、最后在结冰的湖中进行，同时将对具有较大群的网络能力进行建模，以确保系统在海洋部署中的可扩展性。最后，为母舰和乘客通信和自我定位协议开发的软件将是可推广的，并开放源代码，以允许其他研究团队根据自己的需要调整系统。母舰和乘客采样系统不仅将提高冰下观测能力，而且还具有更广泛的海洋学应用，例如探测和监测水下有害藻华或威胁渔业的缺氧事件。