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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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Auto-Docking Autonomous Burial Vehicle (AD-ABV)
SBC: MAKAI OCEAN ENGINEERING INC Topic: N11AT017Subsequent 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 -
Advanced Command and Control Architectures for Autonomous Sensing
SBC: TOYON RESEARCH CORPORATION Topic: N18BT030We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...
STTR Phase I 2019 Department of DefenseNavy -
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence
SBC: TOYON RESEARCH CORPORATION Topic: N18BT033Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...
STTR Phase I 2019 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035OKSI 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 -
Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET)
SBC: Tier 1 Performance Solutions, LLC Topic: N17AT017As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navys ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. An innovative training appro ...
STTR Phase I 2017 Department of DefenseNavy -
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016OKSI 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 -
Nonlinear-DSP-Enabled RF-Photonic Link
SBC: RAM PHOTONICS LLC Topic: N14AT023Digital equalizers have been the major enablers in RF communications in terms of managing component imperfections and channel impairments. Specifically, the ever increasing processing power of the dedicating computing processors has availed a steady increase in the ability of complex communication systems to deal with impairments as well as allowing higher capacities in the information transfer.On ...
STTR Phase II 2016 Department of DefenseNavy -
High Density Capacitors for Compact Transmit and Receive Modules
SBC: Bioenno Tech, LLC Topic: N17AT011Development of a new generation of high-energy-density capacitors for power conversion/conditioning systems will be beneficial to reduce the size, weight, and cost of resultant transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) and polymer-ceramic composite dielectric based capacitors ...
STTR Phase I 2017 Department of DefenseNavy -
Pseudospectral Optimal Control for Flight Trajectory Optimization
SBC: STOCHASTECH CORPORATION Topic: N15AT006This Phase II effort aims to deliver robust, reliable software that instantiates state-of-the-art feedback pseudospectral optimal control algorithms for flight trajectory optimization. The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. From proportional ...
STTR Phase II 2017 Department of DefenseNavy -
Pseudospectral Optimal Control for Flight Trajectory Optimization
SBC: Systems Technology, Inc. Topic: N15AT006The pseudospectral optimal control (PSOC) problem is used for rapid trajectory optimization and provides the ability to re-optimize during flight. This technology was implemented on a Navy-relevant mission, and pseudo-real-time operation was demonstrated. The technical readiness level at the end of the Phase I program is a concept that has been shown to be feasible using analysis and simulation. T ...
STTR Phase II 2017 Department of DefenseNavy