@kingdom.khan131: #unfreezemyaccount💔

mubashir multani official
mubashir multani official
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Region: PK
Saturday 26 September 2026 15:47:42 GMT
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muzammilbaloch653
muzammil Baloch💔 :
mashallah kya hai💞💞💞💞
2026-10-16 11:21:21
1
ajanansari804
Ajan 🚩 Ansari :
Hayee multan 🥰
2026-10-03 06:12:33
1
sad.boy42329
sad boy 🤐😒😌 :
badua ni data kasi ko 😢
2026-10-16 08:36:56
3
mianzubair.193
Mian zubair BrAnd :
Pyar ma Bad Duaa nai De jati 😳😳😳😳😳😳😳😳😳
2026-10-16 04:13:18
2
shahbazriaz100
sahib g :
kis ko badua day rheen
2026-10-16 08:59:14
1
ak.kharooti4
🫀رحـــــمــانــو❤️‍🩹 :
bahi Kaye hay ka ase dyrama ke nam mugay batahe
2026-10-03 11:31:39
2
zeeshankiho4
꧁࿇ 𝕊ℍ𝔸ℕ𝕀 𝕄𝔸𝕃𝕀𝕂 512 ࿇꧂ :
assalamu alaikum sister mere Liye Dua karna
2026-10-09 13:56:10
4
karimch830
⚔️Âbdul⚔️kareem⚔️ چandio⚔️ 💓 :
I miss you multan 🥹🥹
2026-09-30 04:54:48
2
hasnain69670
🌹 Hasnain khan :
بددعا کسی نہ دیا کرو
2026-09-29 18:59:38
2
muhammadyousifkingtlp
محبت والے لوگ خان صاحب :
اس طرح کسی کو بد دعا دینا اللہ تعالی اسی شخص سے ناراض ہوجاتا ہے 💔💔💔💔
2026-10-04 03:49:04
2
amjadalirind42
AMJAD BALOUCH ♥️ :
afsos ☺️💟
2026-10-02 18:06:54
2
birohi717
Abdul RAZZAQ :
2026-10-03 01:28:46
2
shahzad777l
Shahzad khan :
دلٹوڑےتو😓
2026-10-02 16:07:50
2
hasain681
hasnain 💕 :
miss you Allah ❤️‍🩹😥
2026-10-03 15:10:15
1
qadee.ahmed03072836284
👑قدیر👑 پردیسی👑 :
2026-09-29 17:14:43
2
habibking424
💔nakam‽ ishq🙍 :
2026-10-04 01:51:15
1
wwkhan560
M.N❤️ :
💝💝
2026-10-04 19:26:54
1
user59595437999306
03262864047 :
2026-10-06 18:28:05
1
murshad.m2
𝘔𝘶𝘳𝘴𝘩𝘢𝘥 :
بے وفا 💔😭 Multan good song,,,
2026-09-28 17:31:24
2
dilbarjanijano
عمران کہتے ہیں🥀 :
ہے محبت💔😭
2026-09-29 10:23:30
2
samdar.khan9922
🥹S Janan R❤ :
how jaan 😩
2026-10-03 09:30:12
1
j.4t68
Jããñ 4t6 :
feroz khan
2026-10-02 14:37:58
2
tahirkamall400
♈ᗩᖺᓮᖇ Ḱᗩᙢᗩᒪᒪ 🦅 :
assalamoilkum
2026-10-16 17:19:57
0
umer.gujjar2654
Umer Gujjar :
💗😭😔
2026-10-16 17:35:00
0
waqarahmadtanoli23
Waqar ♥️Ahmad♥️ :
2026-10-03 16:49:01
0
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Other Videos

MicroFactory is shifting industrial automation away from rigid, pre-programmed systems toward adaptive, small-footprint hardware. Founded by Igor Kulakov, the company develops compact, transparent robotic workstations that utilize human-in-the-loop training. Instead of writing code, operators physically guide the robotic arms to establish baseline trajectories, which the system’s AI refines for high-throughput execution. This video demonstrates the system executing a precise micro-assembly task: aligning and bonding tiny neodymium magnets. The sequence requires 27 autonomous actions driven by 23 human-recorded paths and 4 distinct AI models working in parallel. Assembling magnetic components is notoriously difficult in traditional robotics. Standard industrial arms rely on static coordinate systems. They cannot natively compensate for the dynamic, non-linear inverse-square forces introduced by a magnetic field, which often snap parts out of alignment and ruin calibration. The significance of this demonstration lies in the robot’s ability to handle external, unpredictable stimuli. MicroFactory’s proprietary AI models analyze force feedback and visual data in real-time. This allows the dual arms to dynamically adapt their grip and trajectory to counteract the chaotic magnetic pull, rather than failing when encountering real-world physical resistance. Developing automation that adapts to dynamic environmental variables is a critical step toward fully autonomous, flexible manufacturing lines. #robotics #engineering #futuretech
MicroFactory is shifting industrial automation away from rigid, pre-programmed systems toward adaptive, small-footprint hardware. Founded by Igor Kulakov, the company develops compact, transparent robotic workstations that utilize human-in-the-loop training. Instead of writing code, operators physically guide the robotic arms to establish baseline trajectories, which the system’s AI refines for high-throughput execution. This video demonstrates the system executing a precise micro-assembly task: aligning and bonding tiny neodymium magnets. The sequence requires 27 autonomous actions driven by 23 human-recorded paths and 4 distinct AI models working in parallel. Assembling magnetic components is notoriously difficult in traditional robotics. Standard industrial arms rely on static coordinate systems. They cannot natively compensate for the dynamic, non-linear inverse-square forces introduced by a magnetic field, which often snap parts out of alignment and ruin calibration. The significance of this demonstration lies in the robot’s ability to handle external, unpredictable stimuli. MicroFactory’s proprietary AI models analyze force feedback and visual data in real-time. This allows the dual arms to dynamically adapt their grip and trajectory to counteract the chaotic magnetic pull, rather than failing when encountering real-world physical resistance. Developing automation that adapts to dynamic environmental variables is a critical step toward fully autonomous, flexible manufacturing lines. #robotics #engineering #futuretech

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