The National Science Foundation Division of Computer and Network Systems awarded Syracuse University a $536,983 project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports collaborative research on integrating autonomous unmanned aircraft systems in wildland fire management from January 1, 2022 to December 31, 2025. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science...
This three-year, $300,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research at Syracuse University to develop robust and decentralized decision-making policies for unmanned aerial vehicle-enabled wireless networks. Specifically, the researchers will design intelligent algorithms to jointly address mobility, connectivity, and resource management...
This $174,660 National Science Foundation project grant supports research at the Rochester Institute of Technology to develop full automation capabilities for bird-sized unmanned aerial vehicles operating in unknown, cluttered indoor environments using only an RGB-D camera for visual perception. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education across computing and information sciences, this...
This $177,560 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a new training program to equip students with essential skills for conducting research on Unmanned Aerial Systems (UAS) cyber infrastructure. The project, led by San Diego State University Foundation, involves four training modules focused on fundamental aspects of UAS including control, communication, computing, and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $332,019 to North Carolina State University will develop a new class of control and planning algorithms for unmanned aircraft systems (UAS) that can dynamically adjust performance by reallocating computing resources. The project will create a modeling and analysis framework called Co-Regulated Hybrid Systems (CHS) to enable optimal control,...
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...
The National Science Foundation awarded a $799,204 Project Grant to Purdue University to develop a collaborative cyber-physical learning system (CCPLS) that utilizes unmanned aerial vehicles (UAVs) to facilitate distributed, learning-based processing tasks. The project, funded through the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will establish a framework for integrating UAV-assisted CCPLSs to address challenges with large-scale, high-dimensional,...
This $46,664 Project Grant was awarded by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will support research at Iowa State University to develop new computational frameworks and methods enabling shared visual interfaces between small unmanned aerial vehicles (UAVs) and human users. This will improve the ability of UAVs and humans to safely and effectively collaborate on manipulating objects in dynamic...
This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...
This $315,369 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel learning-based control framework to improve the autonomy and adaptability of heterogeneous drone systems. The project, led by Texas A&M Engineering Experiment Station (Tees), aims to equip drones with the ability to learn from the experiences of other drones, reducing the design, testing, and certification...