SBIR/STTR Research Award

ON UNEXPLODED ORDNANCE DETECTION, LOCATION, AND CHARACTERIZATION USING AN INSTRUMENTED ROVER OPERATED IN A SUPERVISED AUTONOMOUS MODE

Award identifier 82934ee31cd0e251176ebdf995632be1e05eb83850c22f8ee58b4737de4f117dAwarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$250,000

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Defense Advanced Research Projects Agency
Recipient company
EXPLORATION ARCHITECTURE CORPORATION
Proposal award date
2024-04-04
Contract end date
2024-12-04
UEI
DXA2YL5BN4Q8
Solicitation number
23.4
Topic code
HR0011SB20234-P01

Research abstract

Explosive ordnance disposal operations begin with finding the ordnance, which may consist of land mines, Improvised Explosive Devices (IED), and Unexploded Ordnance (UxO) such as 155 mm rounds or bombs. We refer to all these disparate items collectively as Explosive Remnants of War (RMW) in this proposal. As implemented today, finding RMWs is very slow, dangerous work that places human lives at risk. The technologies used create narrow, linear paths of examined territory rather than sweep large areas. Some systems forgo careful ordnance removal in favor of intentionally detonating explosive devices to create a narrow path through a minefield. This proposal describes the Supervised Autonomous Ground Examiner robot (SAGEbot) System which consists of three major parts: the central Control Station (CCS) contains the high-value operator workstations, computing resources, and human operators; Uncrewed Ground Vehicles (UGV) autonomously follow prescribed paths developed by path planning software in the CSS; and instrumented Cone Penetrometers (CP) are installed by the UGV(s) by hammering them into the ground. The hammering creates a seismic signal that is reflected by subsurface soil discontinuities / anomalies and received by CPs that are already installed. Computer software in the CCS then analyzes the seismic data to identify and locate the discontinuities for ordnance detection, verification, classification, and precise geolocation (DVC&G). The SAGEbot System is highly automated. Humans make key decisions, such as site selection, and develop external references, such as the Digital Surface Map (DSM). After these preliminary steps, the work is accomplished with advanced software such as Artificial Intelligence and Uncrewed Ground Vehicles (UGV) working under the general supervision of a human operator. The final decision to declare the site investigation complete again rests with a human.

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

2 SBIR/STTR records share this UEI (2023–2024). Reported award amounts total $399,978. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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