REU Site: Swarms of Unmanned Aircraft Systems in the Age of AI/Machine Learning

REU 网站：人工智能/机器学习时代的无人机系统群

• 批准号: 2150213
• 负责人: Richard Stansbury
• 金额: $ 32.29万
• 依托单位: Embry-Riddle Aeronautical University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150213&HistoricalAwards=false
• 关键词: REU; Site; Swarms; Unmanned; Aircraft

Embry-Riddle Aeronautical University establishes a new Research Experiences for Undergraduates (REU) Site to engage participants in research in drone swarms. The emerging concept of drone swarms, which is defined as the ability of drones to autonomously make decisions based on shared information, creates new opportunities with major societal implications. However, future drone swarm applications and services pose new networking challenges. A resurgence of Artificial Intelligence and machine learning research presents a tremendous opportunity for addressing these networking challenges. There is an overwhelming need to foster a robust workforce with competencies to enable future drone swarm applications and services in the age of AI/machine learning. The project establishes a new Research Experiences for Undergraduates (REU) Site with a focus on networking research for drone swarms in the age of AI/machine learning at Embry-Riddle Aeronautical University. The goals of the REU Site are: (1) attract undergraduate students to state-of-the-art drone swarm research, especially those from underrepresented groups, and from institutions with limited opportunities; (2) develop the research capacity of participants by guiding them to perform research on drone swarms; (3) grow the participants’ technical skills to enable a wide variety of beneficial applications of drone swarms; (4) promote the participants’ integrated AI/machine learning and drone swarm competencies; and (5) prepare participants with professional skills for careers. The focus of the REU Site is on the design, analysis and evaluation of innovative computing and networking technologies for future drone swarm applications and services. To be specific, research activities will be conducted in three focus areas, notably dynamic network management, network protocol design, and operationalizing AI/machine learning for drone swarms. Each year eight undergraduate students will participate in a ten-week summer REU program to perform networking research for drone swarms under the guidance of research mentors with rich experiences in AI/machine learning and drone swarms. This REU site is expected to foster workforce knowledge and skills about developing new computing and networking technologies for future drone swarm applications and services. This site is supported by the Department of Defense ASSURE program in partnership with the NSF REU program.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.

安柏瑞德航空大学建立了一个新的本科生研究体验（REU）网站，让参与者参与无人机群的研究。无人机群这个新兴概念被定义为无人机根据共享信息自主决策的能力，它创造了具有重大社会意义的新机会。然而，未来的无人机群应用和服务将带来新的网络挑战。人工智能和机器学习研究的复苏为解决这些网络挑战提供了巨大的机会。在人工智能/机器学习时代，迫切需要培养一支具备能力的强大劳动力队伍，以实现未来的无人机群应用和服务。该项目建立了一个新的本科生研究体验（REU）站点，重点是在安柏瑞德航空大学（Embry-Riddle Aeronautical University）进行人工智能/机器学习时代无人机群的网络研究。REU网站的目标是：(1)吸引本科生参与最先进的无人机群研究，特别是那些来自代表性不足的群体和机会有限的机构的学生；(2)引导参与者开展无人机群研究，培养参与者的研究能力；(3)提高参与者的技术技能，使无人机群的各种有益应用成为可能；(4)提升参与者人工智能/机器学习和无人机群综合能力；(5)培养学员的职业技能。REU网站的重点是设计、分析和评估未来无人机群应用和服务的创新计算和网络技术。具体而言，研究活动将在三个重点领域进行，特别是动态网络管理，网络协议设计，以及无人机群的人工智能/机器学习操作。每年将有八名本科生参加为期十周的暑期REU项目，在具有丰富人工智能/机器学习和无人机群经验的研究导师的指导下，对无人机群进行网络研究。该REU网站有望培养员工的知识和技能，为未来的无人机群应用和服务开发新的计算和网络技术。该站点由国防部ASSURE计划与NSF REU计划合作提供支持。该奖项反映了美国国家科学基金会的法定使命，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

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach

• DOI: 10.1109/ipccc55026.2022.9894322
• 发表时间: 2022-11
• 期刊: 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)
• 作者: Justus Renkhoff;Wenkai Tan;Alvaro Velasquez;William Yichen Wang;Yongxin Liu;Jian Wang;Shuteng Niu;L. Fazlic;Guido Dartmann;H. Song

Integrating Communication and Sensor Arrays to Model and Navigate Autonomous Unmanned Aerial Systems

• DOI: 10.3390/electronics11193023
• 发表时间: 2022-09
• 期刊: Electronics
• 影响因子: 2.9
• 作者: Sirani M. Perera;Rodman J. Myers;Killian Sullivan;Kyle Byassee;H. Song;A. Madanayake