CCRI: Medium: Collaborative Research: mu-Net: Infrastructure to Advance Mobile Underwater Wireless Networking Research

CCRI：媒介：合作研究：mu-Net：推进移动水下无线网络研究的基础设施

基本信息

批准号：
2016582
负责人：
Klementyna Kasraie
金额：
$ 62万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016582&HistoricalAwards=false
关键词：
CCRI Medium Collaborative Research mu

项目摘要

The aquatic environments, including the oceans, lakes, and rivers, are the basis for life. An exciting direction is to use a group of robots to support science and discovery in aquatic environments. Currently, there are no shared infrastructures available to the nation’s institutions to investigate how a group of robots can coordinate with each other in the underwater environment. This project develops a low-cost and flexible infrastructure, referred to as mu-Net, to support both laboratory tests and field experiments for users from institutions around the nation. The mu-Net infrastructure, a collaborative project between the University of Alabama and Georgia Institute of Technology, advances underwater technologies by lowering the research participation threshold. It also supports the training of the next generation workforce to manage and preserve marine resources.The mu-Net infrastructure uses a service-oriented, non-hierarchical software architecture to facilitate integrated sensing, communications, and navigation. It consists of 1) re-configurable, open-source software suites for simulations and emulations, 2) miniaturized aquatic robots for laboratory tests, 3) commercial-off-the-shelf autonomous surface vehicles and autonomous underwater vehicles for lake tests, and 4) user services to support shared usage. The mu-Net framework merges the functionality of network-centric and autonomy-centric structures to enhance flexible networking capability for collaborative robots. The intellectual merit resides in that the infrastructure enables research in multiple directions. Examples of the enabled research include cooperative and coordinated marine robotics, underwater mobile communication networks, joint networking and navigation of marine robots, and underwater Internet of Things.The mu-Net infrastructure aims to break down the underwater networking-robotics disciplinary barrier and promote close interactions between the two fields. It significantly lowers the participation barrier for researchers in a wide range of areas like marine biology, food sources, and economic development. It has the potential to inspire more exploration of the earth’s vast water bodies for scientific and commercial activities. The project uses a spectrum of community engagement activities, such as annual workshops, conference special sessions, summer training school, and deployment camps, to expand user communities. In addition, enabled by the cost-effective assets and fueled by the participation of users via social media, mu-Net attracts widespread adoption for different education and research purposes, ranging from ocean-literacy education, workforce training, academic research, to industrial technology development.The project website is gtsr.gatech.edu/munet.html, where users can access experimental management portal, open-source simulators, design repositories, test data, and so on. The project website is regularly updated during the project period and is planned to be maintained through at least three years after the expiration of the project.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.

包括海洋，湖泊和河流在内的水生环境是生命的基础。一个令人兴奋的方向是使用一组机器人在水生环境中支持科学和发现。目前，该国机构尚无共同的基础设施来调查一组机器人如何在水下环境中相互协调。该项目开发了一个低成本和灵活的基础设施，称为MU-NET，以支持全国各地用户的实验室测试和现场实验。 MU-NET基础架构是阿拉巴马大学和佐治亚理工学院之间的合作项目，通过降低研究参与阈值来推进水下技术。它还支持对下一代劳动力的培训来管理和保存海洋资源。MU-NET基础架构使用面向服务的，非层次软件体系结构来促进集成的灵敏度，通信和导航。它由1）重新配置，开源软件套件，用于仿真和仿真，2）用于实验室测试的小型水生机器人，3）3）商业上搁置的自动式地面车辆和湖泊测试的自动驾驶汽车，以及4）支持共享用途的用户服务。 MU-NET框架合并了以网络为中心和以自主性为中心的结构的功能，以增强协作机器人的灵活网络功能。知识分子的优点在于基础设施可以在多个方向上进行研究。这项启用研究的例子包括协调和协调的海洋机器人，水下移动通信网络，海洋机器人的联合网络和导航以及《水下互联网》。MU-NET基础设施旨在打破水下网络机器人纪律障碍并促进两个领域之间的紧密互动。它显着降低了在海洋生物学，食物来源和经济发展等广泛领域的研究人员的参与障碍。它有可能激发人们更多地探索地球广阔的水体进行科学和商业活动。该项目使用各种社区参与活动，例如年度研讨会，会议特别会议，夏季培训学校和部署营地，以扩大用户社区。 In addition, enabled by the cost-effective assets and fueled by the participation of users via social media, mu-Net attractions widthspread adoption for different education and research purposes, ranging from ocean-literacy education, workforce training, academic research, to industrial technology development.The project website is gtsr.gatech.edu/munet.html, where users can access experimental management portal, open-source simulators, design存储库，测试数据等。该项目网站在项目期间定期进行更新，并计划在项目到期后至少三年内维护。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为通过评估而被视为珍贵的支持。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

First Step Towards μNet: Open-Access Aquatic Testbeds and Robotic Ecosystem

迈向μNet的第一步：开放式水生试验台和机器人生态系统

DOI：
10.1145/3491315.3491322
发表时间：
2021
期刊：
15th Internationa Conference on Underwater Networks & Systems (WUWNet’21
影响因子：
0
作者：
Mayberry, Scott;Wang, Junkai;Tao, Qiuyang;Zhang, Fumin;Song, Aijun;Hong, Xiaoyan;Dong, Shuai;Webb, Connor;Dugaev, Dmitrii;Peng, Zheng
通讯作者：
Peng, Zheng

A Laplacian Regularized Least Square Algorithm for Motion Tomography

运动层析成像拉普拉斯正则化最小二乘算法

DOI：
10.23919/acc50511.2021.9482730
发表时间：
2021
期刊：
Proc. American Control Conference (ACC 2021
影响因子：
0
作者：
Ouerghi, Meriam;Zhang, Fumin
通讯作者：
Zhang, Fumin

Distributed Cooperative Kalman Filter Constrained by Discretized Poisson Equation for Mobile Sensor Networks

移动传感器网络离散泊松方程约束的分布式协同卡尔曼滤波器

DOI：
10.23919/acc55779.2023.10156161
发表时间：
2023
期刊：
2023 American Control Conference
影响因子：
0
作者：
Zhang, Ziqiao;Mayberry, Scott T.;Wu, Wencen;Zhang, Fumin
通讯作者：
Zhang, Fumin

Demo: The integration of mu-Net and BlueBuzz Acoustic Modem

演示：mu-Net 与 BlueBuzz Acoustic Modem 的集成

DOI：
10.1145/3567600.3570989
发表时间：
2022
期刊：
The 16th International Conference on Underwater Networks & Systems
影响因子：
0
作者：
Mayberry, Scott;Dugaev, Dmitrii;Peng, Zheng;Cai, Jinzhi;Zhang, Fumin
通讯作者：
Zhang, Fumin

First Step Towards Low-Cost, Open-Source Optical Modem for Underwater Communication with Experimental Results

DOI：
10.1145/3567600.3568157
发表时间：
2022-11
期刊：
Proceedings of the 16th International Conference on Underwater Networks & Systems
影响因子：
0
作者：
Jinzhi Cai;Scott Mayberry;Fumin Zhang
通讯作者：
Jinzhi Cai;Scott Mayberry;Fumin Zhang