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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Assess Stability and Anti-Fragility of Dense Urban Terrains

    SBC: Cordillera Applications Group, Inc.            Topic: ST17C003

    The objective of this proposal is to examine the feasibility of defining and measuring key dimensions of an urban system to include its essential functions and networks, and whether they can be modelled in a computational framework for assessing robustness and resilience of DUTs (and their tipping points) under conditions of volatility and stress. This proposal will conduct a comprehensive review ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF12BT02

    ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

    STTR Phase I 2013 Department of DefenseAir Force
  3. SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Robust Decision Tool for Persistent Space Self Defense Systems

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF12BT09

    ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Soft and Elastomeric Intramuscular Electrode with Therapeutic Delivery Capability

    SBC: TDA Research, Inc.            Topic: A13AT019

    Approximately 5-6% of military injuries involve some form of major peripheral nerve injury with little chance of spontaneous healing. Currently these injuries lead to major impairment of voluntary muscle function in the limbs and extremities, making tasks of walking, reaching, grasping, etc. very difficult or impossible for many patients. It is not enough to focus therapeutic treatment on the se ...

    STTR Phase I 2013 Department of DefenseArmy
  6. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications

    SBC: Nanosonic Inc.            Topic: AF18AT002

    This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Multifunctional Textile Coating of Military Fabrics

    SBC: Materials Modifications Inc.            Topic: A13AT020

    This STTR Phase I project will develop a novel multifunctional coating to combat a wide range of threats in a variety of complex situations for the warfighter. Military combat uniforms currently use NYCO fabrics (Nylon/cotton 50/50). The US Army is seeking new coating technologies that will impart multifunctional properties such as antistatic, conductive, flame resistance, improved abrasion resis ...

    STTR Phase I 2013 Department of DefenseArmy
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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