@userfx6z836ha7:

user563051812تعال وتس
user563051812تعال وتس
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Region: SA
Monday 17 August 2026 10:46:01 GMT
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cvxziil4
SA🍰 :
الحمدالله على نعمة الكويت
2026-08-27 19:55:25
5
shaikhfariduddi28
Shaikh Farid Uddin :
very beautiful🥰🥰🥰
2026-09-06 20:00:52
1
sajal.bayen.mani
Sajal Bayen Mani Kumar :
love
2026-09-11 23:44:43
1
abdullahshatoor95
Abdullah Shatoor :
العسل
2026-09-01 20:12:47
2
arman.wazer04
arman majarwal :
2026-08-21 08:21:46
1
hosen.md.mokter
Hosen MD Mokter :
2026-08-17 19:04:00
2
abomajed682
abomajed682 :
حسبنا الله ونعم الوكيل وكفى
2026-09-03 16:46:13
3
sahmadhuss
Sahmad Hussain :
nice
2026-09-14 15:51:57
0
user45551009060212
محمد رشید :
🥀
2026-08-18 02:15:43
2
abdullahshatoor95
Abdullah Shatoor :
قلبي
2026-09-01 20:13:04
2
muhammadasifasi183
muhammadasifasi183 :
2026-08-20 05:40:38
2
user254929987
Azam Ali🌹🙏🇵🇰🇸🇦🙏🌹 :
💞💞💞♥️♥️♥️
2026-08-20 08:34:31
1
user534590473
Ramesh Tadi :
🔥🔥🔥🔥
2026-08-20 18:39:03
2
arman.wazer04
arman majarwal :
2026-08-21 08:21:37
2
moinulla245
معین اللہ وازیر🥀💔🫰 :
2026-08-20 09:19:48
2
shoqat.ali9061
Shoqat Ali :
💜💜💜💜💜💜
2026-08-18 18:55:47
1
moinulla245
معین اللہ وازیر🥀💔🫰 :
2026-08-20 09:19:51
1
mujib.rahmeto
Mujib Rahmeto :
2026-08-25 19:49:04
1
user9192040565638
صاحب جى :
WhatsApp no😡😡😡
2026-08-18 17:30:07
2
mujib.rahmeto
Mujib Rahmeto :
ሀይ
2026-08-22 20:13:47
2
user2862948151190
پرویز لاشاری :
2026-08-18 09:37:44
1
wani.ofii37
of. ta. ii. jiradhuu💋 :
2026-08-17 20:38:24
1
habiburrohoman612
Habibur Rohoman :
@
2026-08-18 12:07:37
1
birendra.limbu13
Birendra Limbu :
👌👌👌👌
2026-08-19 11:15:46
1
saleemullhaq5
꧁𓊈💔⚜️saleem ulhaq⚜️💔𓊉꧂ :
❤️❤️❤️❤️
2026-08-18 11:27:15
1
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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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