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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. Autonomous Landing at Unprepared Sites for a Cargo Unmanned Air System

    SBC: SYNETICS SYSTEMS ENGINEERING CORP.            Topic: N10AT039

    A rapid prototyping simulation for the Autonomous Rotorcraft Land & Take-Off (ARLTO) system will be developed to analyze and evolve requirements for the landing and take-off of a Rotary-wing Autonomous Air Vehicle (RAAV) from unprepared terrain. The simulation is based upon the Task-Pilot-Vehicle modeling system and features a UH-60 configured with a Sliding Mode Control (SCM) inner loop closure. ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Mitigation of USV Motions via Wave Sensing and Prediction

    SBC: ADVANCED SCIENTIFIC CONCEPTS, LLC            Topic: N10AT036

    Advanced Scientific Concepts, Inc. (ASC) has teamed with the Department of Ocean Engineering at The University of Rhode Island to devise a sensor suite and computer algorithm to predict ocean waves to aid autonomous boat navigation in heavy weather. The centerpiece of the sensor suite is a Lidar designed by ASC that is adapted to image the ocean at glancing angles. It’s ability to acquire a 3D s ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Complex Event Detection in Video and Communications

    SBC: SOAR TECHNOLOGY, LLC            Topic: N10AT040

    We will demonstrate the feasibility of detecting tactically meaningful complex events in sensor input streams using an efficient pattern matching technology embodied in the Soar cognitive architecture. Our focus in Phase I will be on video streams, such as those that might be produced by unattended ground sensors or unmanned aerial systems. To reduce risk, we propose devoting a portion of our effo ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: FRONTIER TECHNOLOGY INC.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  5. High Efficiency Gain Media for Eye-Safer 1.55 µm Ultrafast Fiber Amplifiers

    SBC: KAPTEYN-MURNANE LABORATORIES, INC            Topic: N10AT012

    We propose to design a high average power Er:Fiber ultrafast laser system which is pumped at 14xxnm, and at the same time solve other problems related to ultrashort pulses in fiber lasers. The advantage of using 14xxnm pumping is the reduction of the standard quantum defect from 37% to 5%, thus greatly reducing the thermal load on the system, which makes it inherently more efficient. We also inten ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Advanced Real Time Battery Monitoring and Management System

    SBC: TECHNOLOGY SERVICE CORP            Topic: N10AT013

    TSC and Purdue University will demonstrate a lab prototype of software and hardware capable of doing high speed monitoring of a Lithium-Ion cell. This monitoring needs to be specifically designed to predict failures. When a predictive failure is indicated a defensive countermeasure needs to be implemented. Our specific project goals are to: 1) Select a Lithium-Ion battery that consists of multiple ...

    STTR Phase I 2010 Department of DefenseNavy
  7. High Efficiency Computation of High Reynolds Number Flows via Anisotropic Adaptive Mesh Refinement

    SBC: CMSOFT, INC.            Topic: N13AT009

    This STTR Phase I project aims to design, implement, and demonstrate a rigorous, practical, fast, and re-usable anisotropic mesh adaptation software module for enabling the efficient computation of high Reynolds number flows in large computational domains. To this effect, it focuses on developing: (a) a set of portable and cache-friendly dynamic data structures that ease the implementation in a hy ...

    STTR Phase I 2013 Department of DefenseNavy
  8. High Efficiency Computation of High Reynolds Number Flows

    SBC: Technosoft, Inc            Topic: N13AT009

    Although advancements in CFD technology and high performance computing have proven to be effective and reasonably accurate in assessing the hydrodynamic performance of naval vessels, the effort required to develop associated analysis models remains a challenging and time consuming task. Decomposing and manipulating the design geometry for mesh construction, while capturing near-field and far-field ...

    STTR Phase I 2013 Department of DefenseNavy
  9. Conformal Array Laser Imager for Bondline Evaluation&Repair (CALIBER)

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: N13AT011

    The NAVY solicits new non-destructive inspection (NDI) methods to address detection and evaluation of kissing bonds and bondline integrity in aerospace composites since no currently accepted standard exists. In response AS & T Inc. propose, the Conformal Array Laser Imager for Bondline Evaluation and Repair (CALIBER), designed expressly for this purpose. The novelty of the proposed approach lies i ...

    STTR Phase I 2013 Department of DefenseNavy
  10. Mechanical Property Characterization and Modeling for Structural Mo-Si-B Alloys for High Temperature Applications

    SBC: Imaging Systems Technology, Inc.            Topic: N13AT012

    Under this STTR, Imaging Systems Technology (IST) in cooperation with Georgia Institute Technology (GIT) will develop and mature models to predict mechanical properties of refractory alloys with an eye toward tailoring these alloys for specific applications. In particular, this research will focus on addressing core aspects of Integrated Computational Materials Engineering (ICME) as it applies to ...

    STTR Phase I 2013 Department of DefenseNavy
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