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Find similar grantsAsymmetric Collaborative Counter Swarm is sponsored by U.S. Department of Defense (DoD) - U.S. Army. This topic seeks to develop and integrate a distributed Artificial Intelligence (AI) technology that can collaboratively command and control a multi-agent Group 1 or similar system.
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Asymmetric Collaborative Counter Swarm Asymmetric Collaborative Counter Swarm AI Analysis Solicitation Details Details SBIR Documents ( 1 ) Documents ( 1 ) STTR Opportunity Analysis The Department of Defense, through the Army STTR program, is seeking proposals to develop and integrate distributed artificial intelligence technology for collaborative counter-swarm defense.
Awardees must deliver decentralized software algorithms that enable a friendly homogeneous swarm of Group 1 or Group 2 Unmanned Aerial Systems to autonomously defend an area against a numerically superior enemy swarm.
Key requirements include executing algorithms under extreme size, weight, power, and cost constraints with a compute payload under two pounds, operating in both permissive and degraded network environments, and enabling a single platform to degrade or destroy multiple enemy drones within ten meters.
Phase I proposals must focus on a feasibility study of different algorithmic approaches and sensor packages, offering a cost limit of up to $300,000 for a one- to six-month period of performance. Submissions must be completed online through the DOD SBIR/STTR portal by the application deadline of August 19, 2026, at 4:00 PM Eastern Time.
This Department of the Army SBIR solicitation (ARM26TX04-NV001) seeks to develop and integrate decentralized, distributed Artificial Intelligence (AI) software to command and control friendly, homogeneous Group 1 or Group 2 Unmanned Aerial System (UAS) swarms. The objective is to defend designated areas by collaboratively countering numerically superior enemy drone swarms in 1-to-N engagement scenarios.
Key technical requirements include executing AI algorithms within strict Size, Weight, Power, and Cost (SWaP-C) limits (compute payload under 2 lbs) and enabling friendly platforms to actively share targeting data in permissive networks. In communication-denied or degraded environments, the system must utilize passive collaboration to maintain operational effectiveness.
Individually, each platform must be capable of degrading or destroying multiple enemy drones within a 10-meter range using kinetic or non-kinetic effectors to significantly reduce the enemy's collective combat power. This project focuses entirely on software and algorithmic development rather than creating new hardware.
Phase I (up to $300,000 for 1–6 months) requires a feasibility study of proposed algorithms, sensor packages, and performance trade-offs. Phase II involves developing and demonstrating a prototype system on existing Program of Record or custom-built UAS hardware, using simulation for large-scale tests and physical hardware for smaller swarm evaluations.
Phase III focuses on dual-use commercial applications, specifically protecting critical domestic infrastructure against unauthorized drone incursions. Related SBIR/STTR Opportunities View Documents Access 1 attachments Source System Official Link Application Due Aug 19, 2026
According to the current listing, eligibility includes: Small businesses. (Implied by SBIR/STTR program). Confirm the full requirements in the official notice before applying.
The published deadline was August 19, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Asymmetric Collaborative Counter Swarm is funded by U.S. Department of Defense (DoD) - U.S. Army. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Small Business Innovation Research (SBIR) Artificial Intelligence/Machine Learning (AI/ML) Focused Open Topic (DoD Army) is sponsored by U.S. Department of Defense (DoD) - U.S. Army. This opportunity supports mission-aligned projects and measurable outcomes in Artificial Intelligence and Machine Learning, accepting proposals on any technical challenge requiring an AI/ML application within specified technology areas, which can include hardware-related innovations for defense applications.
Small Business Innovation Research (SBIR) Artificial Intelligence/Machine Learning (AI/ML) Focused Open Topic is sponsored by U.S. Department of Defense (DoD) - U.S. Army. This open topic aims to bring valuable small business innovations in AI/ML to the Army, expanding the relevance of the Army SBIR program. It accepts both Phase I and Direct to Phase II submissions, focusing on prototype solutions for edge and austere environments.
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