Russian Bogomol robot recovers damaged vehicle under fire
Bottom line
Russian MoD reports that the Bogomol NRTK ground robot was used by repair crews to recover a damaged vehicle from the front line under fire.
Why it matters
The use of UGVs for recovery under fire reduces risk to Russian personnel and demonstrates the operational maturity of Russian unmanned ground systems in high-threat environments.
Pictures from the cited posts
Video Минобороны РоссииD
Evidence — 2 independent origins
Original text (excerpt)
📆 Главное за день 🔥 Ни портов, ни бортов : нанесли удары БПЛА по объектам портовой инфраструктуры Украины и морским судам, задействованным в интересах ВСУ. 💥 Срисовали и разнесли : расчеты Центра «Рубикон» и экипажи ВКС России выявили и уничтожили вражеские пункты управления БПЛА
Original text (excerpt)
Мал да удал: как робот «Богомол» из-под огня технику выручал 🎮 Военнослужащие ремонтного подразделения группировки «Центр» с помощью НРТК «Богомол» вытащили подбитую технику с переднего края . 💬 Заместитель командира ремонтного взвода Сергей Терентьев рассказал, как проходила эва
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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). Russian Bogomol robot recovers damaged vehicle under fire. Hetzner OSINT, 24 October 2026. https://robotwar.io/osint-hetzner/2026-10-24--russian-bogomol-robot-recovers-damaged-vehicle-under-fire/
@misc{robotwar-2026-10-24--russian-bogomol-robot-recovers-damaged-vehicle-under-fire,
title = {Russian Bogomol robot recovers damaged vehicle under fire},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-24--russian-bogomol-robot-recovers-damaged-vehicle-under-fire/}},
year = {2026},
note = {Hetzner OSINT finding D2}
}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