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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.

  1. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    In the phase I effort, IAI successfully demonstrated the feasibility of co-operative swarm based approach to boundary tracking. This approach is relevant to applications such as tracking oil spills using a swarm of robots, tracking enemy troop movement using a swarm of UAV's (Future Combat System (FCS) type scenario), and tracking of static and moving mine fields . In Phase II, we continue our ef ...

    STTR Phase I 2004 Department of DefenseArmy
  2. Predictable, Scalable QoS Routing for Ad Hoc Wireless Networks based on Heavy-Tailed Statistics

    SBC: Intelligent Automation, Inc.            Topic: A05T016

    In this proposal, we identify QoS metrics based on our insights on heavy-tailed phenomena in ad hoc wireless networks, determine the potential performance impact of heavy-tailedness on ad hoc routing, define routing policies based on such insights and metrics, and propose a QoS Routing protocol (HAQR) that captures the heavy-tailed nature and provides quality of service for multi-hop wireless ad h ...

    STTR Phase I 2005 Department of DefenseArmy
  3. Analysis and Visualization of Large Complex Multi-Step Cyber Attack Graphs

    SBC: Intelligent Automation, Inc.            Topic: A06T018

    We propose a comprehensive and innovative approach for analysis and visualization of large, complex, multi-step cyber attack graphs. First, we select the radial space-filling hierarchy visualization module for large complex multi-step cyber attack graph due to its strengths in space efficiency and ease of interpretation. Once an attack is correlated, the attack notification service retrieves the ...

    STTR Phase I 2006 Department of DefenseArmy
  4. MRI-Compatible Fiber-Optically Sensorized Surgical Tools for Precision Removal of Solid Tumors

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: A08T038

    Robotic surgery is a recent breakthrough that is still rapidly emerging. Even the best surgical robotic tools lack the sense of touch that surgeons use to great advantage in the removal of tumors. IFOS proposes to address this shortcoming by embedding arrays of optical fiber Bragg grating (FBG) sensors into metal-free miniature robotic surgery end-effectors. Multiple FBGs can be placed along a sin ...

    STTR Phase I 2008 Department of DefenseArmy
  5. Field Sensor for Rapid Weld Hydrogen Assessment

    SBC: INTERSPACE, INC.            Topic: A05T007

    Hydrogen embrittlement is a growing problem with new advanced high strength steels (AHSS). These newer alloys are more susceptible to cracking which usually occurs at ambient temperature and at lower hydrogen concentrations. Conventional methods to determine hydrogen content in a weld involve destructive testing of weld coupons. There is currently no field sensor capable of non-destructive meas ...

    STTR Phase I 2005 Department of DefenseArmy
  6. Advanced multi-axis control system using Blind Source surface EMG

    SBC: RIPPLE LLC            Topic: OSD05T005

    The goal of this program is to use Blind Source Separation (BSS) signal processing techniques to create a novel multi-axis controller for prosthetic limbs based on surface EMG electrode array recordings.

    STTR Phase I 2005 Department of DefenseArmy
  7. Advanced Robotic Detection of Chemical Agents, Toxic Industrial Gases, and IEDs for Force Health Protection.

    SBC: IONFINITY, LLC            Topic: A06T029

    We propose to develop a novel chemical agent sensor through a joint collaborative effort between IonFinity, the Jet Propulsion Laboratory, and Imaginative Technologies. This chemical sensor consists of 1) a new and powerful detector called a Differential Mobility Spectrometer which has been developed at Imaginative Technologies by team member Dr. Gary Eiceman, and 2) a novel “soft-ionization” ...

    STTR Phase I 2006 Department of DefenseArmy
  8. Nostra: Power System Condition Monitoring and Prognostics

    SBC: IROBOT CORP.            Topic: A07T013

    Complex electro-mechanical systems will inevitably fail. These failures can be mitigated by modeling the system and predicting failures. We propose to build Nostra, a system that takes knowledge from domain experts as well as observed data and creates a model-based inference system for predicting failure in electronic systems. The Nostra system consists of three parts: a model, an inference eng ...

    STTR Phase I 2007 Department of DefenseArmy
  9. Automatic Generation of Robust Network Intrusion Detection Signatures

    SBC: Irvine Sensors Corporation            Topic: OSD06NC2

    Irvine Sensors Corporation (ISC) together with North Carolina State University propose to develop a novel behavioral technique that is capable of detecting network based intrusions, and can then be used to identify signatures for an Intrusion Prevent Engine (IPE). The behavioral technique proposed detects attacks embedded in different network layers using assertions that can be dynamically updated ...

    STTR Phase I 2006 Department of DefenseArmy
  10. Algorithms for Image Content Indexing and Information Retrieval from Unstructured or Semi-structured Complex Database

    SBC: Isca Technologies, Inc.            Topic: A07T008

    Humans take for granted their extraordinary visual abilities, however efforts to give such abilities to computers have meet with limited success thus far. Objects may be difficult for a computer to recognize/index because they are partly occluded, viewed from an unusual angle, because they blend into the background due to low contrast (or camouflage), or more generally because the best features (c ...

    STTR Phase I 2007 Department of DefenseArmy
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