SBIR/STTR Research Award

Collaborative Sensing using Unmanned Underwater Vehicles in a Mesh Network

Award identifier 65ab9da613fcce4acfdeb6da97ee33e37e46315827500ac6511965987396e316Awarding agency Department of Defense · Special Operations Command

Award amount

$149,509

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Special Operations Command
Recipient company
Certus Core, Inc.
Proposal award date
2022-08-15
Contract end date
2023-02-23
UEI
D7KGSXWL9NL7
Solicitation number
22.D
Topic code
SOCOM22D-ST01

Research abstract

To support US Special Operations Command’s Next Generation Intelligence, Surveillance, Reconnaissance, and Situational Awareness applied research goals, Certus proposes the deployment of multiple Autonomous Underwater Vehicles (AUVs) in a meshed configuration to enable collaborative autonomous sensing on littoral targets of strategic interest. In order to develop this capability, a number of technologies would have to be integrated; however many of the individual components that comprise the features of this capability already exist and are mature today. AUVs employing underwater sensing packages (LiDAR, SONAR, etc) have been in existence for some time and have become smaller and relatively less expensive in recent years. Additionally, modern AUVs are currently deployed with the necessary edge processing devices to enable AI/ML based sensing and detection as well as conditional autonomous responses that enable autonomously triggered follow-on actions. Hydroacoustic communications systems have equally matured into small, deployable, low power devices enabling AUVs to communicate to each other as well as to other vessel-based communications platforms. AUV guidance and navigation have also matured with many viable non-GPS based solutions to support operating in denied or restrictive environments. Certus has identified and is proposing a SOF-peculiar model and algorithm development to support SOCOM use cases for collaborative sensing on targets of potential interest; autonomous collaborative responses from multiple deployed AUV platforms that are specific to SOF missions; the simulation and data operations environments to support the collection, storage, and processing of live data as well as the creation of simulated data in order to train and test SOF-peculiar models. Certus believes we can also add unique value to these digital infrastructure solutions by integrating, developing, and testing them with commercially procured AUVs functioning in a meshed configuration at the Certus Group Maritime IoT Range at the Port of Tampa. Fielding these solutions in an active port environment that is a short drive from SOCOM HQ will add to the solution’s effectiveness by incorporating real active AUVs, other commercial vessel traffic, and an urban maritime port environment into the modeling and algorithm development process. The proximity to SOCOM will also enable rapid feedback on demonstrations due to the proximity to a valuable user community there. Special Operations Forces lack some of the key data, digital, and physical infrastructure needed to field collaborative sensing AUVs against a near peer competitor in the Strategic Competition environment. Certus proposes the creation of that infrastructure to support near term problems such as Underwater Collaborative AUV sensing but also the creation of other SOF specific algorithms and models that enable small, autonomous platforms to be fielded by SOF Warriors supporting Strategic Competition missions.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2022–2024). Reported award amounts total $4,461,681. Reported amounts are not federal obligations.

Phases: Phase II, Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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