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IUCRC Phase I University of Michigan: Center for Autonomous Air Mobility and Sensing (CAAMS)

IUCRC Phase I University of Michigan: Center for Autonomous Air Mobility and Sensing (CAAMS)
IUCRC 第一阶段密歇根大学:自主空气流动和传感中心 (CAAMS)
批准号:
2137195
负责人:
Dimitra Panagou
金额:
$46.77万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-04-15 至 2027-03-31

项目摘要

项目成果

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中文摘要
翻译
世界航空业正在走向自主空中机动性和传感,人工智能、能源系统、空气动力学、结构和材料、先进制造和多学科设计方面的新发展正在使新的飞行器概念和使用航空在日常信息、人员和货物运输中的新方式成为可能。自主空气移动和传感中心(CAAMS)将产生新的基础工程知识,开发新技术,并将通过将美国领先的工程研究大学的技术知识与从初创公司到航空航天行业历史悠久的领先企业的创新公司汇集在一起,培养所需的新劳动力。CAAMS的研究重点是通过将控制、空气动力学、结构和材料、通信和能量储存等传统航空领域的研究与人工智能、机器学习和机器人等新学科相结合,提高飞行器的性能、可持续性、安全系统、可制造性和可靠性。密歇根大学对CAAMS的贡献包括航空航天和机器人测试设施(室内/室外运动捕捉实验室、风洞),以及自主学习和安全控制、多旋翼概念车设计、多飞行器系统和人机交互方面的专业研究。空中客车-密歇根大学航空伺服弹性中心等现有合作为研究和劳动力开发方面的协同提供了进一步的机会。自主空中机动性和传感包括广泛的车辆概念、集成的子系统、支持基础设施、交通管理工具,以及利用航空领域日益自主的能力的应用。这些自主系统有可能提高安全性和可靠性,降低成本,并使具有国家和全球重要性的新任务成为可能。到2040年,全球自动驾驶飞机市场预计将达到1.5万亿美元,CAAMS将成为增强美国竞争力的关键资产。中心研究每年将支持数十名学生,让他们亲身体验先进的自主系统,并直接了解行业的观点和需求。中心的成果将通过档案出版物、在工程和计算机科学会议上的演讲以及与航空业成员的技术交流来广泛传播。销售线索站点将建立一个单一的中心范围的数据存储库,其中包含一个受密码保护的门户网站,所有中心行业成员都可以访问该门户。项目数据将每年向中心成员提供,并将在中心财政年度结束后两年应请求向公众提供。该奖项反映了NSF的法定使命,并已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。
英文摘要
The world’s aviation industry is moving towards autonomous air mobility and sensing, where new developments in artificial intelligence, energy systems, aerodynamics, structures and materials, advanced manufacturing, and multidisciplinary design are enabling new air vehicle concepts and new ways of using aviation in the daily transport of information, people, and cargo. The Center for Autonomous Air Mobility and Sensing (CAAMS) will produce new fundamental engineering knowledge, will develop new technologies, and will train a new workforce needed by pooling the technical know-how of America’s leading engineering research universities with innovative companies ranging from startups to long-established leaders in the aerospace industry.CAAMS research focuses on improving air vehicle performance, sustainability, safety systems, manufacturability, and reliability by integrating research in traditional aerospace fields such as control, aerodynamics, structures and materials, communication, and energy storage with new disciplines including artificial intelligence, machine learning, and robotics. University of Michigan’s contributions to CAAMS include Aerospace and Robotics test facilities (indoor/outdoor motion capture labs, wind tunnels) and research specialization in autonomy with learning and safe control, multirotor concept vehicle designs, multi-aircraft systems, and human-machine interaction. Existing collaborations such as the Airbus-University of Michigan Center of Aero-Servo-Elasticity provide further opportunity for synergies in research and workforce development.Autonomous air mobility and sensing includes a broad range of vehicle concepts, integrated subsystems, supporting infrastructure, traffic management tools, and applications that exploit increasingly autonomous capabilities in aviation. These autonomous systems have the potential to improve safety and reliability, reduce costs, and enable new missions of national and global importance. The global market for autonomous aircraft is expected to reach $1.5 trillion by 2040, and CAAMS will be a key asset in enhancing US competitiveness. Center research will support dozens of students every year, giving them hands-on experience with advanced autonomous systems and direct understanding of industry perspectives and needs.Center outcomes will be broadly disseminated through archival publications, presentations at engineering and computer science conferences, and technical interchanges with aviation industry members. A single center-wide data repository will be established by the lead site with a password-protected web portal that can be accessed by all center industry members. Project data will be made available to center members annually and will be made available upon request to the public two years after the center fiscal year has ended.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Drone delivery and the value of customer privacy: A discrete choice experiment with U.S. consumers
无人机送货和客户隐私的价值:针对美国消费者的离散选择实验
DOI: 10.1016/j.trc.2023.104391
发表时间: 2023
期刊: Transportation Research Part C: Emerging Technologies
影响因子: --
作者: [Berke, Alex, Ding, Geoffrey, Chin, Christopher, Gopalakrishnan, Karthik, Larson, Kent, Balakrishnan, Hamsa, Li, Max Z.]
通讯作者: Li, Max Z.
Wind-informed Cost Distributions for Uncrewed Aerial System Dispatch Strategies
无人航空系统调度策略的风向成本分布
DOI: 10.2514/6.2024-1079
发表时间: 2024
期刊: AIAA SciTech Forum
影响因子: --
作者: [Wei, Sihang, Huang, Hejun, Yeo, Derrick W., Li, Max Z.]
通讯作者: Li, Max Z.
DOI: 10.1109/itsc57777.2023.10422533
发表时间: 2023-09
期刊: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
影响因子: --
作者: [Minghao Chen;Andrew W. Smyth;M. Giometto;Max Z. Li]
通讯作者: Minghao Chen;Andrew W. Smyth;M. Giometto;Max Z. Li
Remote identification trajectory coverage for Urban Air Mobility applications
城市空中交通应用的远程识别轨迹覆盖
DOI: --
发表时间: 2023
期刊: https://arxiv.org/abs/2302.09653
影响因子: --
作者: [Huang, H., Mazotti, B., Kim, J., Li, M. Z.]
通讯作者: Li, M. Z.
Collaborative Research: CPS: Medium: Enabling Autonomous, Persistent, and Adaptive Mobile Observational Networks Through Energy-Aware Dynamic Coverage
CAREER: Perceivability: Enabling Safe and Secure Autonomy via Synergistic Control, Observation and Learning
Phase II IUCRC University of Michigan: Center for Unmanned Aircraft Systems (C-UAS)
国内基金
海外基金
Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark Supercooled Phase Transition
  • 批准号:
    24ZR1429700
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    YUICHIRO NAKAI
  • 依托单位:
ATLAS实验探测器Phase 2升级
  • 批准号:
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  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    3350万元
  • 批准年份:
    2019
  • 负责人:
    刘衍文
  • 依托单位:
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
  • 批准号:
    41802035
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    12.0万元
  • 批准年份:
    2018
  • 负责人:
    张里
  • 依托单位:
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究