Дроны зафиксировали места гнездования редчайших птиц в Якутии 🤩 Операторы компании «БАС» с помощью беспилотников зафиксировали места гнездования редкого белого журавля, обследовав свыше 800 км² тундры в национальном парке «Кыталык». 👾 АФС велась в видимом и инфракрасном диапазонах. На основе полученных данных экологами будет составлена точная карта распределения стерхов. 🎁 Использование тепловизоров позволило опер…

Channel
Маневр | Дроны & Роботы
@manevr_RF
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,627subscribers
-232 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002164289072 |
|---|---|
| Type | Channel |
| Username | @manevr_RF |
| Description | Манёвр — взлетная полоса для дронов, роботов и смелых идей. Рассказываем о разработках, тестах, новинках и людях, которые двигают эту сферу. Стать автором - к @Faina_Filina Номер РКН 6253699624 |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/manevr_RF |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:14 | 14,627 | -2 |
| 11 Aug 2026, 18:46 | 14,629 | -13 |
| 10 Aug 2026, 19:47 | 14,642 | -133 |
| 9 Aug 2026, 18:22 | 14,775 | -11 |
| 8 Aug 2026, 19:24 | 14,786 | -62 |
| 7 Aug 2026, 21:44 | 14,848 | -11 |
| 7 Aug 2026, 06:46 | 14,859 | first reading |
Engagement
45 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.34%
- avg views ÷ 14,627 subscribers
- Avg views / post
- 1,070
- 45 posts measured
- Reaction rate
- 0.698%
- reactions ÷ views · ER floor
- Posts in window
- 45
- of 45 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 44 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 45 (3 August 2026 – 12 August 2026) |
| Views total | 48,336 |
| Reactions total | 337 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 01:49 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈2,960
- Videos
- ≈790
- Links
- ≈2,810
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 12m 23s
- Average length
- 46s
Measured directly from 16 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
337 reactions across 44 posts, in 16 distinct kinds. The most used accounts for 22.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 76 | 22.6% | |
| 👀 | 56 | 16.6% | |
| 👻 | 44 | 13.1% | |
| 🐳 | 37 | 11.0% | |
| 🔥 | 35 | 10.4% | |
| ❤ | 33 | 9.79% | |
| ❤🔥 | 27 | 8.01% | |
| ⚡ | 6 | 1.78% | |
| 👏 | 6 | 1.78% | |
| 🤗 | 5 | 1.48% | |
| 🎉 | 4 | 1.19% | |
| 🥰 | 3 | 0.89% | |
| 🤩 | 2 | 0.593% | |
| 🎄 | 1 | 0.297% | |
| 💯 | 1 | 0.297% | |
| 🤝 | 1 | 0.297% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 44 of the 45 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 337reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 3 August 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Роборука имитирует аккуратность человека 🦾 Mimic Robotics представила промышленную роботизированную кисть Mimic Hand M1 весом 1,8 кг. 📦 Благодаря вынесенным в предплечье моторам и сухожильному приводу она удерживает более 25 кг при 15 степенях свободы. 🤖 Датчики фиксируют усилие от 0,1 ньютона. В связке с экзоскелетом U1 устройство обучает роботов человеческим навыкам. Подписывайся на нас 🥲MAX | 💬 VK
👍2
Он пашет, я красивая: робот-садовник вышел работать на ферму 🧑🏻🌾 В хозяйстве сыровара Олега Сироты появился новый работник робот Кузьмич. 🌳 Он обрабатывает деревья от вредителей, не берет больничные и согласен на любые ночные смены. 🤖 Чтобы немного очеловечить машину, его одели в фирменную вязаную жилетку. 🗯️ Правда, у идеального сотрудника есть странность: Кузьмич периодически читает проповеди о превосходстве м…
🎉2👍1👻1🤩1
Роботы достигли 90% точности в сложных задачах 🤖 Dyna Robotics выпустил ИИ-модель DYNA-2 для роботов, обученную на 1 млн часов видео действий людей от первого лица. 🌐 Подход World-Action Model позволяет системе сначала изучить физику среды по обычным роликам, а затем адаптироваться под задачи робота с помощью небольшого массива спецданных. 📊 В результате точность модели в эталонных задачах выросла до 80–90% против…
👍2
«Дрон на крышу, робот к двери»: в РФ создадут единую систему беспилотной логистики 🇷🇺 В России за три года планируют создать единую систему доставки, объединяющую беспилотники и наземных роверов. 🗣 По словам гендиректора «Консорциума БАС» Дениса Барышникова, все технические элементы уже готовы — осталось собрать их в единый продукт. ⬆️ Схема работы проста: дрон доставляет груз по воздуху на крышу дома, а через гру…
👍2
Робособаки помогут людям осваивать Луну 👨🚀 На лунной станции, которую Китай планирует построить к 2035 году, вместе с астронавтами будут работать четвероногие роботы. 👩🚀 Базовый сценарий предусматривает команду из трех человек и трех робопсов, которые возьмут на себя самые опасные задачи. 🐩 Сначала роботам поручат патрулирование базы, проверку техники и сбор лунного грунта. Позже они привлекутся к добыче водяног…
❤2👍2❤🔥1
Тепловизор против хищника: в Хакасии МЧС выслеживает медведя с помощью дронов 👾 В городе Абаза спасатели запустили воздушное патрулирование, чтобы не допустить выхода бурого медведя в жилые районы. 🐻 Ранее хищника заметили в прибрежном лесном массиве, где он пытался переплыть реку около дамбы напротив местной школы. 🤩 Оснащенные тепловизорами беспилотники позволяют оперативно выслеживать животное в густых зарослях…
❤🔥2👀1👍1🔥1
В МАИ создают гибридный дрон-лесник с дальностью 200 км 🌳 БВС самолетного типа с вертикальным взлетом и посадкой предназначен для комплексного мониторинга лесов. 🔥 Главная цель проекта — сократить время обнаружения лесных пожаров, а также оперативно выявлять скрытые очаги возгораний и незаконные вырубки. 🔝 Аппарат оснащен тремя пропеллерами, что позволяет ему стартовать прямо с небольших лесных полян без взлетно-п…
❤🔥3👏2🔥2🎉1👀1👍1👻1
Грибы под наблюдением с воздуха: дроны и ИИ оценивают подземную экосистему 🍄 Исследователи из Канады и Китая оценили разнообразие лесных грибов с помощью дронов и алгоритмов машинного обучения. 👾 Традиционный забор почвенных проб требует массы времени, но съемка с воздуха ускоряет процесс. 🍄 В ходе тестов на участке в 26 га БПЛА проанализировал высоту деревьев, влажность и хлорофилл в кронах. 🌱 Объединив снимки с…
👀4👍2❤🔥1🔥1
Поставки человекоподобных роботов в мире выросли в 3,7 раза 🌏 В первом полугодии 2026 года мировые поставки гуманодных роботов выросли более чем в 3,7 раза: до 19,1 тыс. единиц против 5,1 тыс. годом ранее. 📃 Согласно докладу Smart Analytics Global (SAG) Более 97% рынка занимают китайские компании во главе с Agibot. 📊 Свыше 70% роботов были приобретены для использования в производственных и коммерческих целях. Для …
🐳4❤1👀1👍1🔥1
В Китае представили LUMO — первого в мире гуманоидного робота-вездехода 🩶 Китайская Dobot представила LUMO ростом 1,3 м. Он способен передвигаться по разным поверхностям: газону, песку и брусчатке. 🤖 В зависимости от ситуации LUMO может выполнять разные задачи: совместные тренировки, играть, помогать в повседневных делах. 🤖 В основе его работы лежит собственная ИИ-модель Dobot Kongyi Embodied Large Model. Она позв…
👀4❤1👍1💯1🔥1
🚓 Даже у машин бывают свои «понедельники». Подписывайся на нас 🥲MAX | 💬 VK
👻3👍2
Showing the 12 most recent of 45 posts we hold for @manevr_RF. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 601,001 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Маневр | Дроны & Роботы” (@manevr_RF), 14,627 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/manevr_RF.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.