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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
Adaptive Optics controlled nonlinear propagation of USLPSBC: ADVANCED SYSTEMS & TECHNOLOGIES INC Topic: N17AT024
Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...STTR Phase I 2017 Department of DefenseNavy
Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environmentsSBC: BAYSPEC, INC. Topic: DHP16C002
BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...STTR Phase I 2017 Department of DefenseDefense Health Agency
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancementSBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016
OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...STTR Phase I 2017 Department of DefenseNavy
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS PlatformsSBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035
OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...STTR Phase I 2017 Department of DefenseNavy
Methodologies for Cost-Effective Measurement of Dynamic Material Properties or Characterization of Materials under Dynamic LoadsSBC: KARAGOZIAN & CASE, INC. Topic: MDA16T003
Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...STTR Phase I 2017 Department of DefenseMissile Defense Agency
Nonintrusive Detector of Acute Cognitive Strain (DACS)SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: ST16C003
Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
Auto-Docking Autonomous Burial Vehicle (AD-ABV)SBC: MAKAI OCEAN ENGINEERING INC Topic: N11AT017
Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...STTR Phase II 2017 Department of DefenseNavy
Carbon Nanotube Technology for RF AmplificationSBC: CARBON TECHNOLOGY INC Topic: AF15AT15
Theoretical studies have shown that the electrical current in a CNT Field Effect Transistor (CFET) is intrinsically linear. Inherently linear CNTs offer significant improvements in performance without sacrificing power and have the potential for greatly improving range and sensitivity in state-of-the-art receivers such as those used in satellite systems and other communications applicationsModelin ...STTR Phase II 2017 Department of DefenseAir Force