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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.

这项提议旨在开发一个实验性的共享可再编程平台，为机器人和研究界提供一种可以在该领域起到催化剂作用的仪器。该平台将推进多代理人工智能、毫米波网络和通信领域的研究活动。它将对不同机构的研究人员开发的协作蜂群操作和分布式传感、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)为了重现现实世界场景中的机动性和动态感，该平台将首次允许对多功能毫米波无线电进行彻底的实验评估，并创造机会加强毫米波联网研究人员与一直领导毫米波和亚太赫兹软件定义无线电开发的行业参与者之间的持续合作伙伴关系，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，旨在培养在毫米波无线网络、机器人和多代理人工智能操作方面具有独特理论和系统设计技能的信息技术专业人员和科学家。事实上，它有潜力成为TE毫米波通信、网络和机器人研究社区选择的实验平台。此外，其他机构的研究人员将被允许(并得到适当的培训)使用该平台。该平台将被纳入目前由专业督导教授的研究生课程中，以使学生比其他以无线通信和网络为中心的毕业生更具优势，从而使这些学生在竞争激烈的就业市场中具有优势。该仪器还将造福于推动机器人和无线研究的CEISE社区。该基础设施将向该领域的研究人员开放。FAU将根据需要向用户收取费用，或者向愿意资助自己的实验的用户免费提供访问权限。毫米波收发器套件的代码和原理图将向社区提供。这一奖励反映了NSF的法定使命，并通过使用基金会的智力优势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.