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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. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Development of Nonlinear Scanning Microwave Microscopy for 3D Tomographic Imaging at the Nanoscale

    SBC: Next 3D Tech, LLC            Topic: A17AT008

    Scanning microwave microscopy (SMM), capable of quantitatively measuring local electromagnetic properties at submicron length scales, has been widely used in semiconductor industry, materials science, physics, biology and other fields of science and technology. In particular, it offers the unique capability of penetrating into the sample-under-test in a non-invasive and non-contacting manner. Howe ...

    STTR Phase I 2017 Department of DefenseArmy
  8. Scalable Manufacturing of Graphite Yarns via Wet Spinning Process

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A17AT013

    Recently, fiber/yarn-based energy-storage systems have attracted enormous attention due to their remarkable promises in smart textiles and high-tech sportswear etc., mainly as more pliable energy-storage units being truly wearable. Storagenergy Technologies Inc. proposes to develop graphite fibers (GFs), which are fabricated by a scalable and cost effective wet spinning approach, and later chemica ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Self-Sensing & Self-Healing Composites via Embedded Mechanophores

    SBC: METIS DESIGN CORPORATION            Topic: A17AT009

    Composites are being adopted increasingly in aerospace structures due to their superior specific stiffness and strength, their resistance to fatigue and ability to greatly reduce part count. They present additional challenges for design however, due to their heterogeneity and anisotropy, and for inspection since damage often occurs beneath their surface. Currently successful laboratory non-destru ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Developing a Clostridium molecular toolkit for bioconversion of food waste

    SBC: SYNVITROBIO, INC.            Topic: A17AT011

    Waste generation at forward bases creates significant challenges; its disposal presents an economic cost with no direct benefit and its accumulation or burning is a health hazard. The bioconversion of waste into useful compounds could save thousands annually for every soldier and tens of millions in capital expenditure. However, widespread adoption is impeded by low conversion efficiency. We propo ...

    STTR Phase I 2017 Department of DefenseArmy
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