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...
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 National Science Foundation (NSF) EAGER: TASKDCL: DRONEVISION award, under CFDA 47.041 Engineering, will investigate a physics-based environment called DRONEVISION that enables users to see and interact with illuminated objects using micro-drones. The $300,000 award, effective from September 1, 2024 to August 31, 2026, will address technical challenges such as configuring drones with bright lights to remain invisible during flight and human interaction, localizing drones with millimeter...
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 $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 National Science Foundation (NSF) EAGER (Early-concept Grants for Exploratory Research) project under the Engineering program (CFDA 47.041) will fund $300,000 in research to address the challenge of enabling a quadrotor (small unmanned aerial vehicle) to safely pick up and drop off a package from/onto a human's outstretched hand based on the human's instructions. The research aims to incorporate the human's cognitive state into the quadrotor's decision-making and action processes, fostering...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a research project that introduces a novel approach for robots to navigate in unknown environments. The $202,082 award to Trustees of Boston University aims to develop high-level reasoning techniques that allow robots to understand and navigate environments using structured elements like rooms and doors, instead of relying on detailed...
The National Science Foundation (NSF) awarded a $275,000 Small Business Innovation Research (SBIR) Phase I grant to Biotronic Innovations LLC under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The project aims to develop a high-performance, drone-based wildlife telemetry technology that is economical and easy to use. The research plan focuses on creating a co-robotic system that employs an unmanned aerial vehicle (UAV) as an assistant wildlife tracker, fusing data from...
This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research effort focused on learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The key objectives are to develop deep learning-based UAV localization and wireless sensing, location-aided UAV millimeter wave (mmWave) communications, and joint UAV mmWave...