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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 SBIR.gov 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 SBIR.gov 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.

  1. Pseudospectral Optimal Control for Flight Trajectory Optimization

    SBC: STOCHASTECH CORPORATION            Topic: N15AT006

    The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. Often, linearization around a set point is the only practical approach, and many controllers implemented in hardware systems are simple linear feedback mechanisms. From proportional guidance in missiles ...

    STTR Phase I 2015 Department of DefenseNavy
  2. Pseudospectral Optimal Control for Flight Trajectory Optimization

    SBC: Systems Technology, Inc.            Topic: N15AT006

    Systems Technology, Inc. proposes to use and extend new technology from the University of Florida to enable real-time use of trajectory optimization to improve the guidance of autonomous air vehicles such as those used by the U. S. Navy. These range from missiles to UAVs. Specifically this work will involve enhancements, from the University of Florida, in hp-adaptive pseudospectral optimization. T ...

    STTR Phase I 2015 Department of DefenseNavy
  3. Process diagnostics to quantify mechanical performance of AM parts

    SBC: POLARONYX INC            Topic: N16AT004

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

    STTR Phase I 2016 Department of DefenseNavy
  4. Proactive Contextual Decision Support for Decision Making Under Uncertainty

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N13AT020

    Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

    STTR Phase II 2015 Department of DefenseNavy
  5. Precision Optical Navigation Guidance System (PRONG)

    SBC: FOMS INC.            Topic: N15AT014

    FOMS Inc. and University of Southern California propose to develop the PRecision Optical Navigation Guidance (PRONG) system to provide continuous, high quality range and bearing data to fixed wing aircraft during landing approach to an aircraft carrier. The PRONG system uses infrared optical communications with advanced modulation and coding to measure range between ship and aircraft with accuracy ...

    STTR Phase I 2015 Department of DefenseNavy
  6. Photonic Integrated Analog-to-Information Receiver

    SBC: FREEDOM PHOTONICS LLC            Topic: N21AT004

    As complexity and performance requirements increases for RF sensors and systems for electronic warfare applications, the need for innovative and low-power compressive sensing (CS) technologies will become urgent in power constrained mobile platforms. There are several DOD and government application areas where this holds true and the high-performance CS technology to be developed in this program c ...

    STTR Phase I 2021 Department of DefenseNavy
  7. Passive Acoustic Cued Electro-Optical (ACE-O) Detect and Avoid For sUAS

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: N21AT003

    Detecting and Avoiding (DAA) manned aircraft from small Unmanned Aircraft Systems (sUAS) remains the unsolved problem for safe integration of sUAS into civil airspaces where Navy UAS must pay Due Regard to the laws of civil aviation. The difficulties are manifold. The solution requires both ultra-low SWaP sensors that track aircraft over long ranges, providing 360o field-of-regard (FOR), and often ...

    STTR Phase I 2021 Department of DefenseNavy
  8. PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning

    SBC: MAYACHITRA, INC.            Topic: N20AT007

    We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

    STTR Phase I 2020 Department of DefenseNavy
  9. PACT: Personalized Account and Community management Tool

    SBC: Intelligent Automation, Inc.            Topic: N20AT017

    Social media platforms have enhanced many communities by facilitating online development of relationships, fostering collaboration, connecting friends and supporting activism. However, these platforms are also environments for people to bully and spread hate. Furthermore, adversaries of the United States and its allies have weaponized social media to spread disinformation. Intelligent Automation, ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Optimization of Fatigue Test Signal Compression Using The Wavelet Transform

    SBC: ATA ENGINEERING, INC.            Topic: N18BT029

    ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...

    STTR Phase II 2020 Department of DefenseNavy
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