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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. Easy-to-use, Autonomous Bin-picking and Assembly Operations for the Manufacturing Industry

    SBC: Robotic Materials Inc.            Topic: None

    We will develop a series of object manipulation primitives to pick up and assemble standard mechanical parts such as screws, gears and pulleys that can be configured without any programming skills. Building up on a smart robotic gripper, 3D perception and machine learning algorithms, we will design a graphical user interface for the Universal Robot E-Series that allows an user to label arbitrary 3 ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Alternate GPS Anti-Jam Technology

    SBC: Integrated Solutions for Systems, Inc.            Topic: A18048

    This work details the proposed single antenna eigen decomposition (SAED) algorithm to providing anti-jam protection to single antenna GPS users. The focus of this work was for dismounted soldiers and small size platforms which cannot use more common anti-jam technology, e.g. CRPA antennas, to position in the presence of radio frequency interference. The process in which the proposed algorithm remo ...

    SBIR Phase II 2019 Department of DefenseArmy
  3. Scalable, Power Efficient, Programmable, Wide Dynamic Range, Multi-Field- Programmable-Array Compatible Readout Integrated Circuit for Infrared Range Applications

    SBC: SenseICs Corporation            Topic: A18018

    This proposal presents a plan to perform a technology demonstration of an advanced next generation readout integrated circuit (ROIC) to be used for low-power, compressive sensing, and high dynamic range (HDR) imaging applications. Once fabricated, the advanced ROIC will be hybridized with an InGaAs short wave infrared (SWIR) detector focal plane array (FPA) to demonstrate the ROICs capabilities in ...

    SBIR Phase II 2019 Department of DefenseArmy
  4. High Aspect Ratio Mesa Delineation of Antimonide Based Infrared Focal Plane Arrays for Improved Quantum Efficiency and Modulation Transfer Function (MTF)

    SBC: SK Infrared LLC            Topic: A18039

    We will conduct a detailed experimental study toward the development of a manufacturable delineation process for dual band mid-wave and long-wave infrared (MWIR/LWIR) focal plane arrays (FPA) based on nBn, InAs/InAsSb, Type II Superlattice (T2SL) structures. We will build on the successful Phase I effort where we demonstrated an 8.65 µm deep etch with a high aspect ratio (3:1 to 4:1) and a V-groo ...

    SBIR Phase II 2019 Department of DefenseArmy
  5. Intelligent Cyber Adversaries Tool Suites (ICATS)

    SBC: DIGNITAS TECHNOLOGIES, LLC            Topic: A18024

    Dignitas’ overall objective for Phase II is to enhance Cyber training capabilities by developing the Intelligent Cyber Adversaries Tool Suite (ICATS), a capable and flexible intelligent cyber adversary as a training tool for a target system such as OneSAF while looking forward to plans for next generation training system. ICATS provides automated cyber adversaries that conduct OPFOR defensive an ...

    SBIR Phase II 2019 Department of DefenseArmy
  6. Development of a Turbocharger for Small Aviation Diesel Engines

    SBC: Hartzell Engine Technologies LLC            Topic: A18019

    The Department of Defense desires to develop and produce a reliable turbocharger for an aviation compression-ignition engine with a maximum power of 180 hp at sea level which additionally provides 60% of maximum sea level power at 30,000 ft. The challenge is to reliably provide adequate manifold pressure to achieve the desired power at altitude. Diesel engines with existing standard turbocharger t ...

    SBIR Phase II 2019 Department of DefenseArmy
  7. Real Time Automated Multi-Sensor Target Classification Algorithm

    SBC: ARCHARITHMS INC            Topic: A18095

    This research develops an algorithm capable of reliable target classification for a wide range of targets, including, but not limited to, Rockets, Artillery and Mortars (RAM); Unmanned Aerial Vehicles (UAVs); and cruise missiles. For defensive High Energy Laser (HEL) missions, the engagement timeline can be very short. Thus, it is highly desirable to have a robust target classification system that ...

    SBIR Phase II 2019 Department of DefenseArmy
  8. High Temperature Motor Drive

    SBC: MAINSTREAM ENGINEERING CORP            Topic: A18100

    Mainstream Engineering has developed a 25 kW continuous, 35 kW peak-SiC based motor drive. The motor drive is cooled by the 105 °C engine coolant, includes an integrated EMI filter for compliance with Mil-Std-461, and includes reverse-polarity protection on both the 600 V power and 28 V control interfaces. The motor drive has a power density of 93 W/in3, weighs less than 12 lbs, and is 99% effici ...

    SBIR Phase II 2019 Department of DefenseArmy
  9. Chaotic Source for Spread-Spectrum Radar and Communication

    SBC: Monte Sano Research Corporation            Topic: A18117

    Through a collaboration, Monte Sano Research Corporation and Southern Research have recently developed a novel, low-cost signal source for spread spectrum radar and communications systems. This source is capable of producing broadband signals using a printed circuit board and inexpensive (

    SBIR Phase II 2019 Department of DefenseArmy
  10. A Plug-and-Play (PnP) Tool based on Online Machine Learning for Real-Time Monitoring and Control of Mechanical Systems

    SBC: CFD RESEARCH CORPORATION            Topic: A18034

    The goal of the project is to develop and demonstrate a plug-and-play (PnP) platform based on online neural network (NN) learning and modeling for real-time monitoring, prognostics, and control of mechanical systems. In Phase I, key technology elements of real-time HUMS data analysis including “around-theclock” NN learning, feature selection, model predictive control, and embedded computing pl ...

    SBIR Phase II 2019 Department of DefenseArmy
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