DARPA/EUCOM tests autonomous UGVs and loitering munitions at Fort Knox
Bottom line
Russian milblogger Boris Rozhin reports that DARPA and EUCOM tested autonomous UGVs (OverDrive AI) and Anduril loitering munitions at Fort Knox under the RACER program, with swarms coordinating autonomously but requiring operator fire authorization.
Why it matters
Confirms the operational testing of autonomous swarm coordination for UGVs and loitering munitions, indicating a shift toward AI-driven, human-supervised engagement protocols in US Army formations.
Developing story · 2 updates
- US tests XM1180 smart artillery rounds for moving targets
- DARPA/EUCOM tests autonomous UGVs and loitering munitions at Fort Knox (this page)
Pictures from the cited posts

photo Boris Rozhin (Colonel Cassad)C 
photo Boris Rozhin (Colonel Cassad)C 
photo Boris Rozhin (Colonel Cassad)C
Evidence — 1 independent origin
Original text (excerpt)
DARPA в интересах Европейского командования ВС США испытало в Форт-Ноксе боевые беспилотные системы в рамках программы RACER. Разведывательно-ударный контур состоял из четырех НРТК под управлением ПО OverDrive от Overland AI и барражирующих боеприпасов Anduril Industries . Платфо
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← Latest findings · All findings from October 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). DARPA/EUCOM tests autonomous UGVs and loitering munitions at Fort Knox. Hetzner OSINT, 24 October 2026. https://robotwar.io/osint-hetzner/2026-10-24--darpa-eucom-tests-autonomous-ugvs-and-loitering-munitions-at-fort-knox/
@misc{robotwar-2026-10-24--darpa-eucom-tests-autonomous-ugvs-and-loitering-munitions-at-fort-knox,
title = {DARPA/EUCOM tests autonomous UGVs and loitering munitions at Fort Knox},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-24--darpa-eucom-tests-autonomous-ugvs-and-loitering-munitions-at-fort-knox/}},
year = {2026},
note = {Hetzner OSINT finding C3}
}Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-18.v7 · Corrections · JSON · RSS · API performance