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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 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. VLAD (Vehicle Localization Augmentation for DIsmounts)

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: A17AT017

    The goal of the proposed work is to create a suite of sensor processing algorithms and techniques that will result in the dismount localization system initializing and maintaining a good result while riding in a vehicle. The result of such a goal is that a user will be able to seamlessly exit the vehicle and perform their mission, all while still maintaining a high accuracy localization solution. ...

    STTR Phase I 2017 Department of DefenseArmy
  2. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase I 2017 Department of DefenseArmy
  3. Artificial Intelligence/Machine Learning to Improve Maneuver of Robotic/Autonomous Systems

    SBC: AUTONOMOUS SOLUTIONS INC            Topic: A17AT019

    Robotic autonomous systems (RAS) are currently being used for many different applications using a wide variety of vehicle platforms. The environments in which RAS are being used are becoming increasingly complex. Vehicle path planning and control is challenging in environments with many obstacles and uneven terrain. This proposed research will develop and compare multiple techniques to improve veh ...

    STTR Phase I 2017 Department of DefenseArmy
  4. ORION: Operational Robot with Intelligent Off-road Navigation

    SBC: Intelligent Automation, Inc.            Topic: A17AT019

    For operational robots to be truly effective in the battlefield, they would need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities would help them to deal with the challenging real-world problems of off-road navigation, namely, traversability assessment (Capability 1), optimal trajectory computation (Capability 2), and optimal maneuver select ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Biological Agent Detection Network

    SBC: PHYSICAL SCIENCES INC.            Topic: A17AT020

    Physical Sciences Inc. in cooperation with University of Notre Dame proposes to develop a method for the persistent surveillance and detection of aerosolized biological warfare agents using a distributed point bioaerosol detector network, local meteorological sensors, existing infrared surveillance cameras, and crowdsourced georeferenced network traffic and phrase monitoring. The proposed technolo ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Real Time Inline Bacteria Detection for Military Mobile Water Treatment System

    SBC: PHYSICAL SCIENCES INC.            Topic: A17AT023

    Physical Sciences Inc., in cooperation with Boston University, proposes to develop an Interferometric Reflectance Imaging Sensor (IRIS) to detect waterborne pathogens including E. coli for use with military mobile water treatment systems. The imaging platform will employ an algorithm to discriminate E. coli based on size/shape analysis concurrent with capture probes with application to multiplexe ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: TRITON SYSTEMS, INC.            Topic: A17AT024

    The purpose of this proposal is to additively manufacture (AM) smart structures with embedded electronics such as sensors, accelerometers, antennas, etc. The goal of these smart structures will be to enhance the effectiveness and survivability of the Armys ground systems. The use of additive manufacturing smart structures provides flexibility in the materials used and the functionality of the elec ...

    STTR Phase I 2017 Department of DefenseArmy
  8. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: 3DFlexible Inc            Topic: A17AT024

    Layer-by-layer additive manufacturing (AM) has been flourishing. The next generation AM will be hybrid which includes 3D AM printer, CNC mill, micro-milling capability, CAD/CAM, pick-and-place tool and many interchangeable print engines. In other words, this next generation of printers will be a completely computer integrated system. For the last four years, we have been integrating an industr ...

    STTR Phase I 2017 Department of DefenseArmy
  9. RiskWatch: Linking Environmental Stressors to Security Outcomes

    SBC: INFERLINK CORP            Topic: A17AT021

    Many environmental factors can potentially affect a communitys security. In this project, we propose to develop an open source system, called RiskWatch, for harvesting data from multiple sources and linking that data to security outcomes. Relevant data can potentially be found in a wide variety of sources, including structured, numeric data sets and images published by governments and NGOs, in na ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Bioaerosol Detector Wide Area Network

    SBC: Arete Associates            Topic: A17AT020

    Historically, the monitoring and detection of biological threats has been carried out via the deployment of high sensitivity / high complexity monitoring nodes to insure high probability of detection and low false alarm rate. Unfortunately, this detection strategy has inherent limits with respect to coverage and response due to its high deployment/support costs, mandating a new approach to environ ...

    STTR Phase I 2017 Department of DefenseArmy
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