NPO Ushtyunik unveils AI-guided 'Paseka' net-launcher anti-drone system
Bottom line
Russian NPO Ushtyunik presented the 'Paseka' anti-drone system, an AI-guided launcher firing 4x4m nets to physically capture UAVs, claiming thermal imaging for night operations and cost advantages over enemy drones.
Why it matters
The shift from purely electronic warfare (jamming) to kinetic capture systems like 'Paseka' indicates a Russian effort to mitigate the saturation of traditional EW systems and reduce costs in the drone defense domain.
Evidence — 1 independent origin
Original text (excerpt)
✈️ НПЦ «Ушкуйник» представил сеткострел с ИИ-наведением Антидроновая система «Пасека» оснащена 12 контейнерами для сеток размером 4×4 м , выстреливаемых на дистанцию до 30 м. Специально обученная модель ИИ обнаруживает беспилотники и по траектории даёт команду на выстрел из опред
Related findings
- Ushkuynik unveils autonomous containerized drone assembly · 11 Sep 2026 · B2
- Russian 'Paseka' system captures drones with mortar-fired nets · 14 Sep 2026 · B3
- Canada-Ukraine pact for joint drone/EW/AI production · 11 Sep 2026 · C2
- Russia unveils AI-guided 'Yolka' and Kalashnikov counter-UAS systems · 15 Sep 2026 · B2
- Russian 'Rassvet' satellite constellation for drone datalinks · 10 Oct 2026 · B1
← Latest findings · All findings from September 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). NPO Ushtyunik unveils AI-guided 'Paseka' net-launcher anti-drone system. Hetzner OSINT, 12 September 2026. https://robotwar.io/osint-hetzner/2026-09-12--npo-ushtyunik-unveils-ai-guided-paseka-net-launcher-anti-drone-system/
@misc{robotwar-2026-09-12--npo-ushtyunik-unveils-ai-guided-paseka-net-launcher-anti-drone-system,
title = {NPO Ushtyunik unveils AI-guided 'Paseka' net-launcher anti-drone system},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-12--npo-ushtyunik-unveils-ai-guided-paseka-net-launcher-anti-drone-system/}},
year = {2026},
note = {Hetzner OSINT finding D4}
}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 2026-10-15.v6 · Corrections · JSON · RSS · API performance