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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 205211 - 205220 of 207712 results
  1. Automated Air Traffic Control (ATC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: A04081

    Air Traffic Control (ATC) has received little attention as part of military simulation environments. Where ATC is played, it is typically only in a limited way, reducing the realism and validity of the results, and using human controllers, thereby increasing the cost of running the exercise. To address these needs, we propose the research and development of an automated air traffic control network ...

    SBIR Phase II 2005 Department of DefenseArmy
  2. Intelligent Agents for Real-Time Story Adaptation for Training Assessment

    SBC: SOAR TECHNOLOGY, LLC            Topic: N/A

    Simulation-based training systems are developed for a broad range of warfighter and warfighter support activities, from clearing buildings to high-level command decision-making. These systems are expensive to build and they are expensive to operate. This proposal outlines a plan to decrease both types of costs, the costs to develop training systems and the costs to operate training systems. It ...

    SBIR Phase I 2005 Department of DefenseArmy
  3. Advanced Algorithms for Unmanned Systems Resource Optimization

    SBC: SOAR TECHNOLOGY, LLC            Topic: A04096

    To reduce commander and staff workload in the full spectrum of battlefield management, we propose to create a network of agent modules that enable effective control of multiple robotic elements. In this network, each agent serves as an expert in one or more of the required knowledge areas, and is integrated with other agents, forming a panel of advisors to a central decision-making control agent ...

    SBIR Phase I 2005 Department of DefenseArmy
  4. Robotic Command and Control Intelligent Enablers

    SBC: SOAR TECHNOLOGY, LLC            Topic: A04096

    Battle command of mixed human and robotic units is an inherently complex problem. Even within a SoSCOE architecture, implementing such a capability such that it improves commander and combat effectiveness is beyond current state of the art. Such an implementation will require integration, cooperation, and shared awareness among multiple agents, algorithms, other services, and humans. Developing in ...

    SBIR Phase II 2006 Department of DefenseArmy
  5. Automated Air Traffic Control (ATC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: A04081

    This Phase I proposal describes a study for determining the feasibility of developing an automated air traffic control (AutoATC) capability for military simulation. We describe an integrative vision of a network-based cognitive systems approach to developing an AutoATC that will provide ATC control to aircraft in rear, close, and forward operations. The AutoATC will interact with human and simula ...

    SBIR Phase I 2005 Department of DefenseArmy
  6. Intelligent Agents for Real-Time Story Adaptation for Training Assessment

    SBC: SOAR TECHNOLOGY, LLC            Topic: A04226

    Simulation-based training offers the potential for relatively low cost training available at any time and almost any duty station. However, a main drawback of simulation-based training is the lack of oversight in the training process. Simulations often depend on a fixed number of pre-defined training scenarios that are designed to test training objectives but often do not deliver a training experi ...

    SBIR Phase II 2005 Department of DefenseArmy
  7. SEASIM- Synthetic Environment for Assessment of Shipboard technology Impact on Manning

    SBC: SOAR TECHNOLOGY, LLC            Topic: N05047

    Under this Phase I Small Business Innovative Research contract, we propose to develop a synthetic agent-based environment, SEASIM, to help assess the impact of new technology on shipboard systems and to optimize manning. Model-based evaluation techniques are a proven alternative to traditional build-and-test technology development processes in the design of Navy systems. However, no single techni ...

    SBIR Phase I 2005 Department of DefenseNavy
  8. Enhancing Computer Generated Forces (CGFs) for Air Traffic Control Interaction

    SBC: SOAR TECHNOLOGY, LLC            Topic: A06188

    Although the Army uses airborne computer generated forces (CGFs) in simulation environments, most CGFs are not autonomous or interactive enough to be directed by a controller. Full simulation capability requires detailed, doctrinally correct CGFs that can be controlled directly by airspace managers, such as air traffic controllers, air traffic services, or even ground commanders operating in a com ...

    SBIR Phase I 2006 Department of DefenseArmy
  9. SYNC: System for Networked Collaboration

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF06070

    Although emerging technologies are enabling unsurpassed connectivity between battlefield units, coordinating and synchronizing efforts is still one of the most challenging aspects of warfare. This challenge is amplified by the different procedures, customs, and terminology used by each of the different services, and by the need to coordinate multiple types of unmanned battlefield entities. Techn ...

    SBIR Phase I 2006 Department of DefenseAir Force
  10. Task Examination/Aggregation/Learning (TEAL) to Support Adjustable Autonomy

    SBC: SOAR TECHNOLOGY, LLC            Topic: A06202

    Soar Technology proposes to develop a Task Examination/Aggregation/Learning system (TEAL) to enable Future Combat Systems (FCS) assets to autonomously perform increasingly complicated tasks over time. Envisioned as part of the FCS “System of Systems” (SoS) approach, TEAL is an independent reasoning module and autonomy trainer integrated with an adjustable autonomy command system and a robotics ...

    SBIR Phase I 2006 Department of DefenseArmy
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