This solicitation closed on August 19, 2026
View current Department of Defense opportunities →Asymmetric Collaborative Counter Swarm
AI Overview
This RFP seeks distributed AI algorithms enabling small UAS swarms to collaboratively defend areas against numerically superior enemy swarms through decentralized coordination and targeting. The solution must operate under 2 lbs compute payload and function in both permissive and denied communications environments.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Develop and integrate distributed Artificial Intelligence (AI) technology that can collaboratively control a multi-agent Group 1 or Group 2 Unmanned Aerial System (UAS) swarm to defend an area against a numerically superior attacking enemy swarm. The vast majority of counter-UAS systems are optimized for a 1 vs 1 scenario, in which the interceptor UAS seeks to destroy, degrade, disable, or capture a single enemy UAS. This approach typically relies on a sensor package and kinetic or non-kinetic e...
Change History
Asymmetric Collaborative Counter Swarm
Status changed from Open to Closed after topic disappearance
Asymmetric Collaborative Counter Swarm
# Q&A Changes Summary **New Questions Added (6 total):** - Defended asset scope (point, discrete, or extended area protection) - Representative swarm sizes for Phase I analysis - Enemy combat power measurement methodology - Enemy swarm behavior modeling (centralized vs. distributed tactics) - Phase II platform preferences (Program-of-Record vs. COTS/custom) - Phase I deliverable format (live demo vs. recorded simulations) **Key New Answers:** - Defend ~50m x 50m tactical area; 10-40 enemy UAS range recommended - Combat power = total count of remaining enemy UAS (not weighted by type/payload) - Start with baseline: non-coordinated enemy UAS attacking single target - Performer-proposed hardware acceptable; Army prioritizes maximum flexibility - Phase I: recorded simulations + repeatable data sufficient (no live TPOC demo required) **Clarifications on Existing Topics:** - Effector approach reiterated: GFE ultimate; surrogate acceptable; laser-tag scoring allowed Phase I/II - Targeting algorithm is primary value proposition; effector hardware secondary consideration
Asymmetric Collaborative Counter Swarm
Added Q2 with 5 new questions clarifying: residual combat power metrics and asymmetry ratios (1:1 to 1:4); effector scope as notional for Phase I/II; Phase I expectations (analysis/simulation only); sensor exclusion from 2-lb compute payload; and flexibility in platform autonomy assumptions.
Asymmetric Collaborative Counter Swarm
This Q&A clarifies that performers must develop targeting algorithms for a compute-constrained payload (under 2 lbs), can use surrogate/simulated effectors for Phase II demos to control costs, and should demonstrate how swarm performance scales across different friendly-to-enemy force ratios rather than optimize for a single combat power reduction threshold.
Asymmetric Collaborative Counter Swarm
New opportunity: Asymmetric Collaborative Counter Swarm
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