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MRI: Development of a mmWave-Networked Robotic Testbed for Multi-Agent AI Learning and Operations

MRI：开发用于多智能体人工智能学习和操作的毫米波网络机器人测试台

基本信息

批准号：
2117822
负责人：
Dimitris Pados
金额：
$ 100万
依托单位：
Florida Atlantic University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117822&HistoricalAwards=false
关键词：
MRI Development mmWave Networked Robotic

项目摘要

This proposal aims to develop an experimental shared re-programmable platform that will provide robotics and research communities with an instrument that can be a catalyst in the field. The platform will advance research activities in the field of multiagent AI, mmWave networking and communications. It will enable rapid testing and repeatable comparable evaluation of collaborative swarming operations and distributed sensing, positioning, timing, navigation, and communication developed by researchers at different institutions. To the best of the investigators’ knowledge) to recreate mobility and dynamism seen in real world scenarios it will be the first to allow thorough experimental evaluation of multifunction mmWave radios, and creates an opportunity to strengthen the on-going partnerships between researchers in mmWave networking and an industrial player that has been leading the development of mmWave and subTHz software-defined radios,The platform offers a unique research and training opportunity for undergraduate and graduate students at Florida Atlantic University (FAU) for the potential to train information technology professionals and scientists with unique theoretical and system design skills in mmWave wireless networking, robotics, and multiple-agent AI operations. Indeed, it has the potential to become the experimental platform of choice for te mmWave communications and networking and robotics research community. Moreover, researchers at other institutions will be allowed (and trained appropriately) to use the platform. The platform will be incorporated into the current graduate courses taught by the PIs to provide students with an edge over other wireless communication and networking-centric graduates, thus providing these students with an advantage in the competitive job market. The instrument will also benefit the CISE community advancing robotics and wireless research. The infrastructure will be available for researchers in the field. FAU will either charge user’s fees as needed or will provide access free of charge to users willing to fund their own experiments. The code and schematics of the mmWave transceiver kit will be made available to the community.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.

该提案旨在开发一个实验性的共享可重新编程平台，为机器人和研究社区提供一种可以成为该领域催化剂的仪器。该平台将推进多智能体AI、毫米波网络和通信领域的研究活动。它将能够对不同机构的研究人员开发的协作群集操作和分布式传感，定位，定时，导航和通信进行快速测试和可重复的可比评估。据研究人员所知，为了重现真实的世界场景中的移动性和活力，它将是第一个允许对多功能毫米波无线电进行全面实验评估的平台，并为加强毫米波网络研究人员与一直引领毫米波和亚太赫兹软件定义无线电开发的工业参与者之间的持续伙伴关系创造了机会，该平台为佛罗里达大西洋大学（FAU）的本科生和研究生提供了一个独特的研究和培训机会，以培养信息技术专业人员和科学家在毫米波无线网络，机器人和多智能体AI操作方面具有独特的理论和系统设计技能。事实上，它有可能成为毫米波通信和网络以及机器人研究社区的首选实验平台。此外，其他机构的研究人员将被允许（并接受适当培训）使用该平台。该平台将被纳入目前由PI教授的研究生课程中，为学生提供比其他以无线通信和网络为中心的毕业生更大的优势，从而为这些学生在竞争激烈的就业市场中提供优势。该仪器还将有利于CISE社区推进机器人和无线研究。该基础设施将可供该领域的研究人员使用。FAU将根据需要收取用户费用，或向愿意资助自己实验的用户免费提供。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

MobLoc: CSI-Based Location Fingerprinting With MUSIC

DOI：
10.1109/jispin.2023.3336609
发表时间：
2023
期刊：
IEEE Journal of Indoor and Seamless Positioning and Navigation
影响因子：
0
作者：
Stepan Mazokha;Fanchen Bao;G. Sklivanitis;Jason O. Hallstrom
通讯作者：
Stepan Mazokha;Fanchen Bao;G. Sklivanitis;Jason O. Hallstrom

Last One Standing: Building a Wireless Link That Survives in Challenging Environments

最后一站：建立在充满挑战的环境中生存的无线链路

DOI：
10.1109/southeastcon51012.2023.10115188
发表时间：
2023
期刊：
IEEE
影响因子：
0
作者：
Torabi, Amir;Sklivanitis, George;Pados, Dimitris A.;Bentley, Elizabeth S.;Suprenant, Joseph;Medley, Michael
通讯作者：
Medley, Michael

Unsupervised training dataset curation for deep-neural-net RF signal classification

用于深度神经网络射频信号分类的无监督训练数据集管理

DOI：
发表时间：
2023
期刊：
SPIE Defense + Commercial Sensing
影响因子：
0
作者：
Sklivanitis, George;Viloria, Jose A.;Tountas, Konstantinos;Pados, Dimitris A.;Bentley, Elizabeth Serena;Medley, Michael J.
通讯作者：
Medley, Michael J.

Interference-Avoiding RFSoC-based MIMO Links

基于 RFSoC 的 MIMO 链路避免干扰

DOI：
10.1109/milcom58377.2023.10356365
发表时间：
2023
期刊：
IEEE
影响因子：
0
作者：
Torabi, Amir;Sklivanitis, George;Pados, Dimitris A.;Bentley, Elizabeth Serena;Suprenant, Joseph;Medley, Michael J.
通讯作者：
Medley, Michael J.

Single-Sample Direction-of-Arrival Estimation by Hankel-matrix Decompositions

通过 Hankel 矩阵分解进行单样本到达方向估计

DOI：
10.1109/ieeeconf56349.2022.10051870
发表时间：
2022
期刊：
and Computers
影响因子：
0
作者：
Orfanidis, Georgios I.;Pados, Dimitris A.;Sklivanitis, George;Bentley, Elizabeth S.;Suprenant, Joseph;Medley, Michael J.
通讯作者：
Medley, Michael J.