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: Regents of the University of Michigan - Ann Arbor
• 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
• 起止时间: 2022-04-15 至 2027-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2137195&HistoricalAwards=false
• 关键词: IUCRC; Phase; University; Michigan; Center

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.

世界航空业正朝着自主空中移动和传感的方向发展，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的新发展正在实现新的飞行器概念和在日常信息、人员和货物运输中使用航空的新方式。自主空中机动和传感中心（CAAMS）将产生新的基础工程知识，将开发新技术，并将通过汇集美国领先的工程研究大学的技术知识与创新公司（从初创公司到航空航天行业的长期领导者）来培训所需的新劳动力。CAAMS的研究重点是改善飞行器性能，可持续性，安全系统，通过将控制、空气动力学、结构和材料、通信和储能等传统航空航天领域的研究与人工智能、机器学习和机器人技术等新学科相结合，提高航空航天的可制造性和可靠性。 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，多飞机系统和人机交互的研究专业化。 现有的合作，如空中客车-密歇根大学航空伺服弹性中心，为研究和劳动力开发提供了进一步的协同合作机会。自主空中机动性和传感包括广泛的车辆概念，集成子系统，支持基础设施，交通管理工具和应用，利用航空中日益增长的自主能力。这些自主系统有可能提高安全性和可靠性，降低成本，并实现具有国家和全球重要性的新任务。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。中心研究每年将为数十名学生提供支持，让他们获得先进自主系统的实践经验，并直接了解行业观点和需求。中心成果将通过档案出版物，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广泛传播。牵头机构将建立一个单一的中心范围的数据储存库，该数据储存库具有一个受密码保护的门户网站，所有中心行业成员均可访问。项目数据将每年提供给中心成员，并将在中心财政年度结束后两年内应要求向公众提供。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

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
• 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
• 作者: Wei, Sihang;Huang, Hejun;Yeo, Derrick W.;Li, Max Z.
• 通讯作者: Li, Max Z.

Drone Delivery Routing with Stochastic Urban Wind

• DOI: 10.1109/itsc57777.2023.10422533
• 发表时间: 2023-09
• 期刊: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
• 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

• 发表时间: 2023
• 期刊: https://arxiv.org/abs/2302.09653
• 作者: Huang, H.;Mazotti, B.;Kim, J.;Li, M. Z.
• 通讯作者: Li, M. Z.