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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Autonomic Performance Assurance for Multi-Processor Supervisory Control

    SBC: COLORADO ENGINEERING INC.            Topic: OSD11T01

    Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...

    STTR Phase II 2013 Department of DefenseAir Force
  2. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. 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
  4. Autonomous Landing at Unprepared Sites for a Cargo Unmanned Air System

    SBC: Data Flux Systems Inc.            Topic: N10AT039

    We propose to design, develop, implement, simulate, and demonstrate an autonomous control and sensing system for the safe vertical landing of autonomous aerial cargo delivery system (ACDS). The landing site is expected to be unprepared mountain sides with slopes up to 15 degrees and rough terrain containing rocks and brush. We also plan to reduce the amount of ground equipment required to operate ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Autonomous Underwater Vehicle Equipped for Air and Sea Locomotion

    SBC: BARRON ASSOCIATES, INC.            Topic: N16AT025

    The Navy seeks to develop a hybrid air/underwater autonomous vehicle that can rapidly inspect and/or engage submerged objects spread over great distances by flying through the air between sequential underwater operations. Compared to a standard AUV, the flight capability will offer substantial operational advantage by reducing mission time. For comparison, an AUV like the Remus-100 has a maximum s ...

    STTR Phase I 2016 Department of DefenseNavy
  6. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Beliefs, Values, Interests and Practices of Identities, Networks, Groups for Planning & Analysis

    SBC: SECURBORATION, INC.            Topic: A16AT013

    The intelligence community still cannot satisfactorily answer critical fundamental preparation, planning, and execution questions about the environment in which US and allied forces operate and the people they seek to persuade. There is a vast amount of information, almost all of it unclassified, which characterizes population identities and interrelationships in terms of beliefs, values, interest ...

    STTR Phase I 2016 Department of DefenseArmy
  8. Bio-Inspired Bone, Wing, Tail, and Muscle Structures for Morphing Aircraft

    SBC: Prioria Robotics, Inc.            Topic: AF15AT01

    ABSTRACT: Our focus in this proposal is to perform basic research to create bio-inspired 3-D morphing mechanical structures which are a gateway technology to enable true 3-D morphing flight. Prioria and Virginia Tech University will team to perform basic research into bio-inspired structure such as artificial bones/wings/feathers and artificial muscles. Prioria will establish technical feasibility ...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Biojet Fuels from Nonedible Bio-oils and Cellulosic Biomass

    SBC: ENERGIA TECHNOLOGIES, INC.            Topic: N09T034

    The proposed program addresses the emerging needs for the Navy to have cost effective alternative liquid transportation biofuels. The main objectives are to produce bio-jet and bio-diesel fuels from cellulosic biomass and nonedible bio-oils and demonstrate that they have cost structure and product quality comparable to petroleum based fuels. Novel concepts in processing, reactor design and catalys ...

    STTR Phase II 2010 Department of DefenseNavy
  10. Biologically-inspired Integrated Vision System

    SBC: SPECTRAL IMAGING LABORATORY            Topic: AF12BT03

    ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versio ...

    STTR Phase I 2013 Department of DefenseAir Force
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