Cooperative Agreement FA70002520008

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...

This $599,961 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a new framework called AERIAL (AI-Embedded Responsive Intelligent Agents with Trajectory-Induced Digital Twin Learning). The goal is to enable drones and robots to collaborate intelligently by combining advanced mathematics with artificial intelligence. Key aspects include: 1) developing the...

This $320,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enable unmanned aerial vehicles (UAVs) to physically interact with moving objects in mid-air. The project aims to develop: (1) improved UAV flight dynamics modeling, (2) safety-assured motion planning algorithms, and (3) an energy-absorbing manipulator to allow UAVs to securely grasp and interact with moving objects. This capability...

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 $570,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences grant program (CFDA 47.049) supports the development of artificial intelligence (AI) solutions for heterogeneous transfer and personalized federated learning to address mathematical and computing challenges in creating a digital twin for unmanned aerial vehicles (UAVs). The research team at The Ohio State University, which has extensive...

This Project Grant award, valued at $300,000.00 and awarded by the National Science Foundation's Engineering program (CFDA 47.041), supports research to develop a general mathematical framework for optimizing the trajectory of Uncrewed Aerial Vehicle (UAV) swarms used in sensor networks. The key objectives are to incorporate practical operational constraints related to UAV dynamics, energy efficiency, heterogeneity, 3D sensing, collision and inaccessible region avoidance, and communication...

This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $453,372 to Syracuse University to develop autonomous operations of multi-UAV uncrewed aerial systems (UAS) for monitoring and tracking natural disaster events like wildfires and flooding. The key research goals are to design and implement robust motion estimation and control schemes that enable a team of UAVs to...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $175,000 to the University of Nebraska at Omaha (UNO) to develop an AI-powered, GPS-independent navigation and localization framework for unmanned aerial vehicles (UAVs). The project, titled "CRII: SATC: MUSE: MULTI-MODAL SECURITY ENHANCEMENT FOR CYBER RESILIENT UAV OPERATION," aims to enhance the cybersecurity and...

This federal Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) for $599,830 awarded on Oct 1, 2025 to the University of Alabama in Huntsville (UAH) will fund research to develop a novel distributed learning framework based on federated learning. The goal is to enable multi-modal federated learning across unmanned aerial vehicle (UAV) networks, where each UAV may observe a distinct combination of data modalities. The research...

This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...