This Government Contract opportunity from Department Of Homeland Security was posted on April 30, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Close-Quarters Battle (CQB) Autonomous Robotic Infantry Targets
Contract Overview
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The U.S. Secret Service, under the Department of Homeland Security, is seeking subcontractors to supply four compact, indoor-capable robotic infantry targets designed specifically for close-quarters battle training. These robotic targets must replicate realistic infantry behavior, including responsive gunfire detection and reaction, to enhance the realism and effectiveness of tactical drills in confined environments. The equipment must be engineered for safe and reliable operation indoors, with precision movement, durability under repeated use, and seamless integration into existing training protocols. The opportunity was posted on April 30, 2026, with proposals due by May 11, 2026, at 8:00 PM Eastern Time. The NAICS code 334511 indicates this falls under the category of Electronic and Electro-optical Equipment Manufacturing, suggesting the targets are technologically advanced systems requiring specialized design and production capabilities. Performance is expected to be conducted at a location with a zip code of 20705, which corresponds to the Bowie, Maryland area, likely a federal training facility. While no set-aside classification is specified, the solicitation is structured as a subcontract and does not include designated point of contact details, requiring interested parties to review the official SAM.gov listing for full submission guidelines.
General Info
Agency
NAICS
Place of Performance
MD, 20705, USASet-Aside
Documents
This scope was carved out of 2026073318.
The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.
Autonomous Robotic Training System (ARTS)
AI Contract Breakdown
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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