FLARE has a wide range of capabilities and experience to suit the needs of sponsored projects. Our expertise and University of Florida talent supports the following areas.
Networked and Collaborative Systems
FLARE’s Networked and Collaborative Systems area’s Autonomous Vehicles Lab (AVL) focuses on research, development, technology transition, and personnel training in guidance, navigation, and control (GN&C).
Collaborations with military, university, and commercial partners yield proof of concept hardware and software in areas of national importance.
GPS-denied navigation lines of applied research include magnetic navigation, delta-pose estimation, cooperative state estimation, pose graph optimization, and rapid mapping systems. Machine Learning applied research to advance GN&C includes uncertainty inference, anomaly detection, adaptive GN&C, physics-informed calibration, and tracking of unknown targets.
Advanced Sensors and Information Processing
FLARE develops highly advanced and secure sensors and algorithms under extreme size, weight, power, and cost constraints. Our portfolio includes flight prototypes.
Secure and Reliable Systems Proven in Theater
FLARE has research and development expertise across all TRLs, serving numerous Department of War sponsors on projects ranging from rapid-response delivery of field-able prototypes to safety-critical weapon and manned space systems.
Artificial Intelligence and Machine Learning
FLARE can supercharge applied research in ALL Program Areas and in the National Interest based on UF’s commitment to become a world leader in AI research. UF has over $360M in AI related research spanning all 16 colleges since 2015 fueled by the number one ranked most powerful supercomputer in academics: HiPerGator.
Intelligence Surveillance and Reconnaissance
One challenge faced in Processing, Exploitation and Dissemination (PED) is creating usable final product from data gathered. Research efforts in several different functional areas that are working to improve information generation in big data environments including research in distributed computing, which can decrease PED timelines and research that spans collection types that would enable PED cells to create comprehensive intelligence reports.
S&T Munitions and Hypersonic Weapons
Digital Twin Wind Tunnel – Virtual Test: a cutting edge CFD solver or RT surrogate models for early test campaigns.
High-fidelity simulation – actionable insight and mission advantage: advanced CFD solutions for design, analysis, and risk reduction of hypersonic systems across full flight envelope.
Radar Systems and Remote Sensing
Micro and Nanotechnologies
UF has numerous areas of research that focus on the development and sustainment of integrated information systems.