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CapabilityB3likely · moderate confidenceRU · adversary

Russian laser weapons effective against plastic drones but fail against composites

Bottom line

Russian pilot reports indicate laser weapons effectively cut plastic drones like Maya and Darts but fail against composite/carbon drones such as Lutiy and Geran.

Why it matters

Reveals limitations in Russian laser weapon effectiveness against composite drones, suggesting a need for dedicated interceptors with optical/IR channels.

Russian pilot reports indicate that laser weapons effectively cut plastic drones like Maya and Darts but fail against composite/carbon drones such as Lutiy and Geran. The report urges deployment of dedicated drone interceptors with optical/IR channels to counter heavy composite UAVs.

Evidence — 1 independent origin

  • UAV Development (UAVDEV)source Borigin t.me
    Original text (excerpt)

    Результат воздействия лазера на обшивку Лютого (мощность не скажу, секрет). Что имею сказать из опыта. Дроны, покрытые стеклотканью или плотным карбоном лазер берёт плохо. Лютый как раз такой - внутри там пенопласт, снаружи ткань. И она защитила пенопласт. Майу лазер режет как ма

NamedLutyiMayuDartGeranTopicsdroneselectronic warfare

Related findings

← Latest findings · All findings from August 2026

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian laser weapons effective against plastic drones but fail against composites. Hetzner OSINT, 13 August 2026. https://robotwar.io/osint-hetzner/2026-08-13--russian-laser-weapons-effective-against-plastic-drones-but-fail-agains/

@misc{robotwar-2026-08-13--russian-laser-weapons-effective-against-plastic-drones-but-fail-agains,
  title = {Russian laser weapons effective against plastic drones but fail against composites},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-13--russian-laser-weapons-effective-against-plastic-drones-but-fail-agains/}},
  year = {2026},
  note = {Hetzner OSINT finding B3}
}

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