Project Grant 2312092
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $400,000 Project Grant to The Trustees of Princeton University, Office of Research and Project Administration, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program. This 3-year grant supports collaborative research on developing theories and algorithms for scalable multi-agent planning and control to enable safe and robust autonomous electrical vertical take-off and...
- The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $149,904 Project Grant to the University of North Carolina at Charlotte under the NSF Engineering (CFDA 47.041) program. The project aims to develop novel algorithms that enable multiple aerial robots to collaboratively build spatial maps of complex urban wind fields and exploit this information to plan safer and more efficient flight paths at building-level altitudes. This research...
- This $519,563 federal Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research to develop new mathematical tools and algorithms that enable large groups of autonomous agents, such as drones and ground robots, to operate safely, efficiently, and collaboratively. The central focus is on modeling these multi-agent systems as evolving spatial distributions rather than individually, enabling the design of scalable and practical algorithms...
- This $280,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, titled "COLLABORATIVE RESEARCH: CISE CROSSCUTTING SMALL: CPS: AI-POWERED AUTONOMOUS SYSTEMS FOR DYNAMIC IN-AIR OPERATIONS", will support research to enable unmanned aerial vehicles (UAVs) to physically interact with moving objects in mid-air. The project aims to develop: 1) physics-informed modeling to improve UAV flight dynamics prediction, 2)...
- This National Science Foundation (NSF) EAGER (Early-concept Grants for Exploratory Research) award under CFDA 47.041 - Engineering provides $300,000 in funding to The University of Iowa to research methods for integrating unmanned aircraft systems (UAS) with manned aircraft during airport landing procedures. The key focus areas include: 1) developing advanced motion planning algorithms to coordinate the navigation and control of multiple manned and unmanned aircraft, 2) enhancing pilot comfort...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant for $274,944 awarded to Valcon Labs Inc. aims to develop self-healing, fault-tolerant power electronics for urban air mobility (UAM) applications. The key objectives are to improve fault tolerance in the event of battery or motor failure, explore machine learning techniques for DC/AC inverters and AC/DC chargers, and study the impact of the proposed self-healing modular power electronics...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) will provide $150,000 to Wright State University to advance fundamental knowledge in intelligent and sustainable air-ground collaborative systems. The project aims to develop a unified framework that enables seamless collaboration between aerial drones and ground vehicles through efficient data handling, enhanced scene understanding, and adaptive mission planning. Key...
- This Project Grant awarded by the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop an advanced extended reality (XR) training system that combines Federal Aviation Administration (FAA) Part 107 regulations and unmanned aircraft systems (UAS) operation, powered by generative artificial intelligence (AI) assistance. The $399,871 project, titled "Transforming Compliance Training for Drone Operators Through an Extended Reality and Generative Artificial...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $198,583 to East Texas A&M University to develop a deep analytics framework for location integrity and awareness in unmanned aerial vehicle (UAV) operations. The project aims to create a complementary solution to GPS-based methods for UAV navigation, utilizing trajectory-based analysis and deep learning techniques to enhance reliability in challenging conditions such as limited GPS...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $399,999 Project Grant to the University of California, Los Angeles (UCLA) from June 1, 2023 to May 31, 2026. This grant supports collaborative research to develop theories and algorithms for safe and robust multi-agent reinforcement learning to enable high-throughput urban air mobility (UAM) operations using electrical vertical take-off and landing (eVTOL) aircraft. Key technical objectives include: 1)...
This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) to George Washington University in the amount of $399,998 supports research aimed at designing theories and algorithms for scalable multi-agent planning and control to enable safe and robust urban air mobility (UAM) operations using electric vertical take-off and landing (eVTOL) aircraft. The key technical objectives of the project include: 1) developing safety and robustness techniques for single-agent reinforcement learning to support safe aircraft trajectory planning; 2) advancing safety and robustness for multi-agent reinforcement learning to enable high-throughput UAM operations with guaranteed safety; and 3) enhancing policy robustness and fast adaptation from simulation to the real world. This research will collaborate with government and industry partners to promote the safety and reliability of AI, machine learning, and autonomy, with a focus on supporting students from diverse backgrounds.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 6/26/23 |