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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. Operators Context and Trust in Automation Visualization (OCTAV) Tool

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: OSD13HS5

    Pacific Science & Engineering Group (PSE) proposes to design, develop, and demonstrate a prototype human-autonomous system tool & #208;Operators Context and Trust in Automation Visualization (OCTAV) & #208; that will support improved transparency, trust, and human-machine team performance. OCTAV will automatically monitor human and autonomous system team context and task, visualize context-based s ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  2. Coalition of Operators and Automation for Collaborative Tasking (COACT)

    SBC: Traclabs Inc.            Topic: OSD13HS5

    Increasing the autonomy of unmanned vehicles potentially reduces operator workload and cognitive load. Realizing the promise of autonomy however, is difficult when deploying in environments with mobility and visibility challenges, enemy threats, risks of endangering civilians, and limited communication. Achieving full autonomy in the face of these challenges is both a hard technical problem and do ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  3. A Hybrid Systems Approach to Intelligent Information Management in Human-Automation Interaction

    SBC: OPTIMAL SYNTHESIS INC.            Topic: OSD13HS5

    A formal approach to the management of information involved in human-automation interactions is proposed. The mathematical formalism is enabled by employing the notion of hybrid systems. The information management involves ensuring correct information flow and shared cognition between human operators and machines. It is envisioned that the proposed algorithms will formalize the analysis of human-a ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  4. Recognizing Event Attributes in Unstructured Text (REACT)

    SBC: LANGUAGE COMPUTER CORPORATION            Topic: OSD12LD5

    During REACT Phase II LCC will develop an end-to-end autonomous system to extract many types of attributes for all types of events from large amounts of unstructured text with state-of-the-art accuracy, with the overall goal of making sure this information is structured in a way that can easily be used by human analysts or by other intelligence applications.

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  5. VisualAnalytix: Identification and Visualization of Interactions and their Consequences within Complex Systems

    SBC: INTELLIGENT SYSTEMS TECHNOLOGY, INC.            Topic: OSD12ER1

    Complex systems are inherently difficult to analyze because of the hidden interactions and dependencies among components. These interactions and dependencies often produce unpredictable, potentially detrimental overall system behaviors (outcomes). Traditi

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  6. Fusing Uncertain and Heterogeneous Information Making Sense of the Battlefield

    SBC: TOYON RESEARCH CORPORATION            Topic: OSD12LD2

    Decision analysts are faced with an ever-increasing amount of information from a large number of sensors and other data sets. This information can include radar, wide-area motion imagery (WAMI), electronic support measures, and other sensors or information available to the analyst. Analysts are therefore faced with the tasks of scouring an overwhelmingly large amount of data for the information of ...

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  7. Landing Zones Identification (LZI)

    SBC: AMERICAN GNC CORPORATION            Topic: OSD12AU3

    Small Unmanned Air Systems (SUAS) are currently used by the U.S military for a wide variety of critical missions; however, there remains much research and work to enhance autonomy in these platforms. One capability specified by the U.S. Office of the Secr

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  8. Natural Dialogue based Gesture Recognition for Unmanned Aerial System Carrier Deck Operations

    SBC: Systems Technology, Inc.            Topic: OSD12HS3

    Communication on the carrier flight deck is primarily gestural because of the extreme noise, which has led to a well established vocabulary of gestures that deck handlers and Navy pilots use to communicate. An unmanned aircraft controlled by this gesture

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  9. Autonomy Management Platform

    SBC: Traclabs Inc.            Topic: OSD12HS1

    Autonomous vehicles are becoming more and more integral to our nation's defense. There is a desire to increase the autonomy of these vehicles and enable humans to delegate those tasks that are more effectively done by computer. Achieving this will require

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
  10. Militarized Power Line Communication

    SBC: 5-D SYSTEMS, INC.            Topic: OSD12EP7

    Significant energy is required to operate and maintain the extensive U.S. military mission around the world. This equates to significant costs to the country. Smart power microgrids have proven to significantly increase efficiency, as well as enable the u

    SBIR Phase II 2014 Department of DefenseOffice of the Secretary of Defense
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