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Channel

Центр развития промышленной робототехники

@prom_robotics

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

6,558subscribers

+31 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002188135698
TypeChannel
Username@prom_robotics
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/prom_robotics

Growth

6,5276,5646,545.56 August 2026 — 6,527 subscribers6 August 2026 — 6,527 subscribers7 August 2026 — 6,530 subscribers10 August 2026 — 6,538 subscribers14 August 2026 — 6,539 subscribers17 August 2026 — 6,538 subscribers20 August 2026 — 6,544 subscribers24 August 2026 — 6,553 subscribers27 August 2026 — 6,564 subscribers30 August 2026 — 6,558 subscribers2 September 2026 — 6,555 subscribers7 September 2026 — 6,558 subscribers6,5586 August 20267 September 2026
12 measurements spanning 32 days, net +31. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,521–6,570 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 16:196,558+3
2 Sept 2026, 15:246,555-3
30 Aug 2026, 16:276,558-6
27 Aug 2026, 15:166,564+11
24 Aug 2026, 09:426,553+9
20 Aug 2026, 07:166,544+6
17 Aug 2026, 14:056,538-1
14 Aug 2026, 03:586,539+1
10 Aug 2026, 15:456,538+8
7 Aug 2026, 20:236,530+3
6 Aug 2026, 23:456,527no change
6 Aug 2026, 23:336,527first reading

Engagement

7 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

84 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2833.3%
2327.4%
🔥1517.9%
🤝910.7%
❤‍🔥55.95%
💯22.38%
11.19%
😁11.19%

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 7 of the 7 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 5 August 2026 to 11 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

11 Aug 2026, 08:05 UTC362 views13 reactionsread 12 August 2026
Photo

▶️ DID 2026: от пилотных проектов к массовому внедрению роботов На ежегодном форуме Цифровые дни Иннополиса / Digital Innopolis Days собраны главные вопросы отрасли, а среди приглашённых спикеров — те, кто уже нашёл на них ответы. Вас ждут круглые столы, тематические секции и сессии с экспертами отрасли: ➖От пилота к массовому внедрению: как робототехника и кадры становятся стратегией; ➖Как сеть центров развития п

🔥72❤‍🔥2🤝2

9 Aug 2026, 08:05 UTC465 views9 reactionsread 12 August 2026
Photo

🧱 Строитель 2.0: когда роботы не заменяют, а помогают День строителя — праздник тех, кто создаёт города. Но отрасль меняется: на помощь приходят роботизированные системы, которые не заменяют профессионалов, а помогают им. 🧱 Дорогие инженеры, проектировщики, технологи и все, кто вкладывает силы в строительство! Поздравляем вас с праздником! Желаем, чтобы ваши расчёты всегда сходились с точностью до миллиметра, а роб

👍81

7 Aug 2026, 10:08 UTC586 views6 reactionsread 12 August 2026
Photo

🟠 Интенсив от Центра развития промышленной робототехники Университета Иннополис: как это было На этой неделе провели проектно-экспертный интенсив «Аудит как первый шаг к роботизации». В нём приняли участие 133 специалиста из Нижнего Новгорода, Рязани, Перми, Казани и ещё 10 городов России. Среди них — представители промышленных предприятий, центров компетенций и разработчики робототехнических решений. ➡️ Собрали вс

4👍1🤝1

5 Aug 2026, 14:37 UTC738 views22 reactionsread 12 August 2026
Photo

⚡️ Диалог между заказчиком и интегратором: от анализа до контракта На сессии «Практика предпроектного аудита глазами интегратора: от первичного экспресс-анализа до реального контракта на роботизацию» эксперты обсудили единую рабочую методику экспресс-диагностики, которая можешь дать заказчику понятный ROI, а интегратору — реальный проект. На сессии выступили: 🟠Владимир Ледяев, региональный руководитель компании «П

11🤝5❤‍🔥31🔥1😁1

5 Aug 2026, 13:39 UTC484 views17 reactionsread 8 August 2026
Photo

✅Как преодолеть кадровый дефицит в промышленности в условиях роботизации? Этот вопрос стал ключевой темой панельной сессии «Повышение квалификации сотрудников как решение кадрового дефицита при роботизации производства». Представители ЦРПР Университета Иннополис разработали целый спектр программ повышения квалификации для решения проблемы переобучения сотрудников для работы с роботизированными системами. ➡️Замести

👍10🔥42🤝1

5 Aug 2026, 11:14 UTC379 views10 reactionsread 6 August 2026
Photo

✅ От проблемы к конкретным методам решения Завершился практический воркшоп «Стандартизация технико-технологического аудита как ответ на барьер нехватки экспертизы». В нём приняли участие представители региональных центров компетенций, руководители промышленных предприятий и компаний-интеграторов. В центре внимания оказался новый подход к проведению аудита: экспресс-диагностика процессов и определение операций под у

👍42💯2🔥2

5 Aug 2026, 09:38 UTC560 views7 reactionsread 6 August 2026
Photo

⚡️ Барьеры и прорывы: на проектно-экспертном интенсиве «Аудит как первый шаг к роботизации» обсудили стратегию роботизации промышленности России Мероприятие собрало ведущих федеральных и региональных экспертов, представителей власти и интеграторов, чтобы разобрать самые острые вопросы, мешающие промышленности России совершить технологический рывок. С приветственными словами выступили Руслан Ахмедов — начальник отде

👍51🔥1

Showing the 7 most recent of 7 posts we hold for @prom_robotics. 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.

Forward network

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 5 registered channels — 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.

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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“Центр развития промышленной робототехники” (@prom_robotics), 6,558 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/prom_robotics.

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.