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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

Displaying 196021 - 196030 of 207699 results
  1. Artificial Intelligence and Machine Learning-Based Autonomous Mission Planning for Intelligence, Surveillance, and Reconnaissance (ISR) Missions-- 21

    SBC: METRON INCORPORATED            Topic: N21BT021

    Metron, Inc. and the Maryland Robotics Center (MRC) at the University of Maryland propose to design autonomous, distributed ISR mission planning algorithms deployed on UAV platforms that can replan dynamically based on environmental and mission-specific changes. Agents will negotiate UAV tasks dynamically using AI market-based consensus in which global objectives emerge naturally from UAVs pursuin ...

    STTR Phase I 2022 Department of DefenseNavy
  2. 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
  3. Development of a Frontier Magnetic Resonance (MR) Imaging Technology As a Tool for Visualization and Quantified Vascular-Feature Measurement for Use in Brain and Behavioral Research on Small Animals

    SBC: IMAGINOSTICS, INC            Topic: 101

    PROJECT SUMMARY The burden of mental illness continues to be a growing challenge in the United States. At the same time, the scientific community continues to study the brain and behavior, revealing relationships between brain structure and function and physiology and illness. The outer scope of brain and behavior research is governed by the imaging and analytical tools available to scientists. Ma ...

    SBIR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  4. SiC/Al based Avionics Packaging Technology

    SBC: POLARONYX INC            Topic: N201086

    This Navy SBIR Phase II proposal presents an unprecedented laser additive manufacturing system to make SiC and Al metal matrix composite for package enclosures, by using a pulsed fiber laser. It is the enabling technology for manufacturing high strength radiation shielding enclosure with low mass and radiation resistance. With our successful history in AM and SM processing, this proposal has a gr ...

    SBIR Phase II 2022 Department of DefenseNavy
  5. Cross-Domain Strategic Planning with Adaptation for Risk Uncertainty and Opportunistic Targeting

    SBC: ELDER RESEARCH, INC.            Topic: AF21BT001

    Elder Research, Inc. (ERI) and the Virginia Tech Hume Center bring together a data science team with operational context in advanced AI/ML workflow development and implementation, and successful research in semantic reasoning, planning under uncertainty, and hierarchical multi-agent tactical planning. Through applying autonomy to tactical planning and execution, we have come to understand the impo ...

    STTR Phase I 2022 Department of DefenseAir Force
  6. 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
  7. Automated Configuration Deployment and Auditing


    Naval Control Systems (NCSs) must balance two competing objectives.  First and most importantly, they must be safe and cyber secure.  Second, they must be highly integrated, flexible, precise, and accurate.  The first objective is unique to the DoD.  NCS systems commonly interact with weapons, making human safety a prime consideration.  This is not a requirement in commercial industry. Also, ...

    SBIR Phase II 2022 Department of DefenseNavy
  8. Algorithms for MIMO Techniques to Enable a Coherent Distributed Array from Multiple Airborne Platforms

    SBC: NUMERICA CORPORATION            Topic: AF2120007

    Numerica proposes an agile approach to distributed coherent beamforming for ad-hoc mobile sensor networks.  The key novel elements of our approach include: (1) computational sensing approach to multi-sensor data fusion for target detection and parameter estimation leveraging multi-scan, multi-sensor data, (2) adaptive use of multiple potential radar modes such as MIMO cohere-on-receive, full cohe ...

    SBIR Phase I 2022 Department of DefenseAir Force
  9. Design Tool for Multiple Electromagnetic Radome Problems

    SBC: Electro Magnetic Applications, Inc.            Topic: AF2120009

    Modeling interactions between antennas, radomes, and the local electromagnetic environment is one of the most challenging CEM problems. The dimensions of the problem span radome surface treatments that can be nanometers thick to the overall size of the radome, which can be meters in dimension. Radomes can be composed of complex materials such as anisotropic layers, metamaterials, and frequency sel ...

    SBIR Phase I 2022 Department of DefenseAir Force
  10. Explainable and Transparent Machine Learning for Autonomous Decision-Making (EXTRA)


    This effort aims to develop interpretable and reliable machine learning methods that address the challenge of deriving explanations of autonomous decision-making behavior. In particular, the proposed effort focuses on the challenges inherent in interactions between humans and intelligent machines, where transparency and trust are essential to facilitate successful human-machine teaming. This effor ...

    SBIR Phase II 2022 Department of DefenseAir Force
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