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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Self-Supervised Training in Geospatial Applications with a Robust Hierarchical Vision Transformer (STAR)


    Satellite Imagery in Geospatial Intelligence (GEOINT), in conjunction with imagery intelligence (IMINT), geospatial information, and other means of gaining intelligence, has greatly improved the potential of the warfighter and decision makers enabling them to gain a more comprehensive perspective, an in-depth understanding, and a cross-functional awareness of the operational environment. The Artif ...

    STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  2. Artificial Intelligence and Machine Learning-Based Autonomous Mission Planning for Intelligence, Surveillance, and Reconnaissance (ISR) Missions

    SBC: XTENSOR SYSTEMS INC            Topic: N21BT021

    ABSTRACT: Create of a standalone UAV mission planer and simulator that advances fully autonomous UAV operations by providing a scalable mission development environment that generates downloadable mission and CONOPS packages. The envisioned system includes a development environment, a mission simulation environment, a simulation testbed, and an onboard embedded system. This development environment ...

    STTR Phase I 2022 Department of DefenseNavy
  3. Intelligent, Fast Reinforcement Learning for ISR Tasking (IFRIT)

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: N21BT021

    Scientific Systems Company, Inc. (SSCI) in conjunction with our academic partners at MIT, propose the Intelligent, Fast Reinforcement Learning for ISR Tasking (IFRIT) system, to provide sophisticated autonomous end to end ISR mission execution capability. The IFRIT framework will enable real time adaptive mission planning that responds effectively to dynamic environments, leveraging reinforcement ...

    STTR Phase I 2022 Department of DefenseNavy
  4. AI/ML Based Autonomous Mission Planning for Intelligence, Surveillance and Reconnaissance (ISR) Missions

    SBC: Perceptronics Solutions, Inc.            Topic: N21BT021

    RIPACS will provide a novel capability for small UAVs, specifically Group 4 5 vehicles such as the MQ8 Fire Scout, extending their autonomy from pre mission planning through to landing. Being able to fly through a series of waypoints is a well established capability, but human operators are required to layout plans, update plans based on incoming data and react to contingencies.  Requiring humans ...

    STTR Phase I 2022 Department of DefenseNavy
  5. Automatic Hexahedral Mesh Generator for the Electromagnetic Modeling of Complex Navy Platforms with Array Antennas and Radomes

    SBC: HYPERCOMP INC            Topic: N22AT004

    Sophisticated high-fidelity Computational Electromagnetics simulation tools, such as HyPerComp’s HDPhysics-RF software toolset, allow for performance analysis of very complex antennas on full aircraft configurations for Navy applications. Many different antenna types such as passive phased array (PESA), active electronically scanned array (AESA), hybrid beam forming phased array, and digital bea ...

    STTR Phase I 2022 Department of DefenseNavy
  6. (MAVIS) Metrics for Assessing Virtually Induced Spatial Disorientation

    SBC: APTIMA INC            Topic: N22AT005

    Spatial disorientation (SD) is a major factor in military aviation mishaps, leading to preventable loss of life and aircraft. Training methods such as advanced simulators and virtual reality (VR) have enjoyed recent advances; now, there is an urgent need for innovative methods to assess the severity of SD experienced by trainees, and to evaluate the effectiveness of knowledge, skills, and abilitie ...

    STTR Phase I 2022 Department of DefenseNavy
  7. Modeling Platform Level Electromagnetic Compatibility Performance Based on Component Level Testing

    SBC: Electro Magnetic Applications, Inc.            Topic: N22AT006

    Nearly every electronic module that is integrated into a Navy aircraft must pass MIL-STD-461 radiated emissions requirements (RE102), or Navy engineers must assess whether an exceedance of the radiated emissions limit is acceptable. To make a determination about a given exceedance, engineers must consider the specific emissions and how they could impact other electronic modules through coupling to ...

    STTR Phase I 2022 Department of DefenseNavy
  8. smart sensor

    SBC: QUANTUM VENTURA INC            Topic: N22AT008

    Quantum Ventura Inc in collaboration with leading experts in meta-optic design and fabrication, to develop and demonstrate an optical computing-based image recognition system through the use of inverse design.During Phase 1, we will 1) survey existing meta-optic methodologies, 2) design, model and analyze meta-optic device options, 3) fabricate and characterize a meta-optic sample, 4) advance work ...

    STTR Phase I 2022 Department of DefenseNavy
  9. Shipboard Creepage and Clearance Analysis

    SBC: Electro Magnetic Applications, Inc.            Topic: N22AT011

    Medium Voltage (MV) electrical power systems, particularly those operating in harsh marine environments, face difficult challenges. Surface contaminants and changes in the ambient air environment due to the presence of pollutants, salts and other contaminants play a significant role in the empirical properties of air within these environments. Without an effective way to measure the in-situ electr ...

    STTR Phase I 2022 Department of DefenseNavy
  10. Survivable Minefield Mission Data Module

    SBC: Arete Associates            Topic: N22AT012

    STTR topic N22A-T012 seeks to develop a compact, survivable “black box” mission module to collect UUV mission data prior to a mine detonation. This data module must preserve the data and allow system operators to retrieve the data post-detonation. Areté, along with our academic partner Applied Research Lab – Penn State University, propose a hardened EDEX-BB (Expendable Data Exfiltration Bla ...

    STTR Phase I 2022 Department of DefenseNavy
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