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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.

Displaying 202181 - 202190 of 207712 results
  1. Smart Interaction Device for VTOL UAS

    SBC: SOAR TECHNOLOGY, LLC            Topic: N111070

    Current Unmanned Air Systems (UAS) require a great deal of specialized training and experience to use effectively. Furthermore, their use is dominated by a paradigm of control in which a highly trained operator is giving very precise, low-level commands to a UAS. As UAS become more autonomous, they will require less control, but will instead require input from a range of users, including high-leve ...

    SBIR Phase I 2011 Department of DefenseNavy
  2. Red Flag Referee (RedRef)

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF093027

    ABSTRACT: Red Flag is a multinational exercise featuring aerial combat flight operations. Due to the complexity and scope of these exercises, participants require a significant amount of spin-up in advance of their arrival. Specifically, there are a number of logistical and safety related that a pilot must learn and abide by. These rules govern ground operations, marshaling, rules of engagemen ...

    SBIR Phase II 2011 Department of DefenseAir Force
  3. Aviator's Intelligent Assistant

    SBC: SOAR TECHNOLOGY, LLC            Topic: A09124

    Army helicopter pilots are inundated with information in the cockpit, and more is coming. But simply providing more information is not always the answer. With new technology constantly pushing more information into the cockpit, there is an ever-increasing demand for smarter management of that information before it overwhelms the pilot. Most cockpit displays require a pilot to navigate a series of ...

    SBIR Phase II 2011 Department of DefenseArmy
  4. Adaptive, individualized training assessment capability (AITAC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: OSD11CR1

    The revolution in simulation and virtual technologies for training is enabling learners to practice skills and learn in realistic environments. Researchers are also seeking to develop algorithms that can tailor learner practice to the estimated abilities and needs of individual students, offering the promise of individual adaptation to each learner"s dynamically evolving zone of proximal developme ...

    SBIR Phase I 2012 Department of DefenseNavy
  5. Enhanced Operator Situational Awareness for Multi-Unmanned Vehicle Teams

    SBC: SOAR TECHNOLOGY, LLC            Topic: A12036

    SoarTech proposes to research and design an intelligent, multi-vehicle operator control unit that we call Sapient. Sapient will monitor the mission and behavior of a team of heterogeneous UVs and 1. present the user with filtered, focused information about the mission, 2. detect and project important events and alert the user to them, 3. detect and reconcile with the user potential situation ...

    SBIR Phase I 2012 Department of DefenseArmy
  6. Authoring Demonstrations and Assessments for Perceptual Training

    SBC: SOAR TECHNOLOGY, LLC            Topic: N112162

    The USMC Combat Hunter program trains warfighters to be"combat hunters,"providing instruction for combat profiling, tracking, and enhanced observation. Combat Hunter is delivering highly successful training for those warfighters who have opportunity to participate. Computer-based training tools may significantly extend the reach of the training of combat profiling skills as inspired by Combat Hunt ...

    SBIR Phase I 2012 Department of DefenseNavy
  7. A Cognitive Architecture for Naval Mine Countermeasures (MCM)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N121082

    Current Mine Countermeasure (MCM) operations attempt to balance risk to commander"s intent and time via processes that are staff and time intensive. Existing tools such as MEDAL have helped to alleviate some of this, but those tools lack an comprehensive understanding of the uncertainties involved, and how those impact commander"s intent. Furthermore, existing tools are mostly passive, representin ...

    SBIR Phase I 2012 Department of DefenseNavy
  8. A Smart Interaction Device for Multi-Modal Supervisory Control of Multiple RPAs

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF103036

    ABSTRACT: Demand for Remotely Piloted Aircraft (RPA) within the U.S. Military has significantly increased over the past decade, including Micro-Air Vehicles (MAVs). However, effective use of these systems has been hindered by the lack of natural interfaces for controlling them. Currently multiple operators are required to manage all aspects of a single aircraft, and pilots interact using joystick ...

    SBIR Phase II 2012 Department of DefenseAir Force
  9. Natural Language Dialogue for Supervisory Control of Autonomous Ground Vehicles

    SBC: SOAR TECHNOLOGY, LLC            Topic: N102177

    Unmanned Ground Vehicles (UGVs) currently deployed on the battlefield are driven with Operator Control Units (e.g., joystick or point-and-click interface), which requires the full attention of an operator. This means the operator cannot concentrate on maintaining situational awareness, security, or other tasks. To reduce the burden on the operator, SoarTech with our partners Thinking Robots, Brown ...

    SBIR Phase II 2012 Department of DefenseNavy
  10. Smart Interaction Device for VTOL UAS

    SBC: SOAR TECHNOLOGY, LLC            Topic: N111070

    Current Unmanned Air Systems (UAS) require a great deal of specialized training and experience to use effectively. Furthermore, their use is dominated by a paradigm of control in which a highly trained operator is giving very precise, low-level commands to a UAS. As UAS become more autonomous, they will require less control, but will instead require input from a range of users, including high-leve ...

    SBIR Phase II 2012 Department of DefenseNavy
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