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*Robots will replace players one day* Robots:

216,280 次观看 • 2 个月前 •via X (Twitter)

34 条评论

Ghost 的头像
Ghost2 个月前

Red team’s just a bunch of Arsenal players

Joen 的头像
Joen1 个月前

Seems they are programmed solely based on these duo 🤕

Black Fab 🎮 的头像
Black Fab 🎮1 个月前

At least they played better than Man U

EasyEase 的头像
EasyEase2 个月前

lol 😂… not in 3001 years

Benjamin Nunis 的头像
Benjamin Nunis1 个月前

I think they can represent Argentina, now that Paredes is suspended

Paul Tenorio 的头像
Paul Tenorio1 个月前

They have no soul, but neither do they have our limitations. They're already here, and although we may find it amusing to watch them fail now, they'll soon surpass us at everything. We'd better make sure they always remain at our service

troll lover 🗣️ 的头像
troll lover 🗣️1 个月前

Robot cannot do this 😭

Tminnzy 的头像
Tminnzy2 个月前

Robo red card after celebrating too hard 😂

Kickoffclock 的头像
Kickoffclock1 个月前

Robot already practicing dives before its first match

Fernando Vieira 的头像
Fernando Vieira2 个月前

This robot replaces Neymar Jr. very well

C H I D O 👑 的头像
C H I D O 👑1 个月前

You would be surprised how fast they adapt and develop Chill, until you see them in humanoid form without the jerkings and awkward moves

just David🤝 的头像
just David🤝2 个月前

They are butter than Manchester united😭

Bensticks1 的头像
Bensticks12 个月前

“Ai will take your job” Me to Ai: This you🌚

在間忍 的头像
在間忍1 个月前

China football +made in China robot🤭🤭

Juanfield 的头像
Juanfield1 个月前

No different to having statues . Some of our players don't move all match.

꧁༆𝓜𝓪𝓻𝓽𝓲𝓷𝓮𝔃 10༆꧁ 的头像
꧁༆𝓜𝓪𝓻𝓽𝓲𝓷𝓮𝔃 10༆꧁1 个月前

player 5 acting like GTA san andreas player😂😂😂

Nyadawa X 的头像
Nyadawa X1 个月前

Wait till they have super intelligence and we have terminators moving around.

King Agüero 的头像
King Agüero1 个月前

@NobaraUvU

MrHollaOut ひ 🎰🎌🛢️ 的头像
MrHollaOut ひ 🎰🎌🛢️2 个月前

Mhm.hmm

hhhhhhh 的头像
hhhhhhh1 个月前

Do not make a stuff for pointless reason. If robot replace human for high risk physical jobs, or repetitive job, i am ok. But not for all of thing we use ai/robot, that is stupid

Mary Anaman 的头像
Mary Anaman1 个月前

Did you notice there was messj and ronaldo on the pitch??

Alseiny Diallo🇬🇳🇬🇳 @fcbacelone @miamiheat 的头像
Alseiny Diallo🇬🇳🇬🇳 @fcbacelone @miamiheat2 个月前

Penalty a favor del real madrid

Football Logic 的头像
Football Logic2 个月前

Bro I would pay to watch this shit 😂 they just need to label it robot MMA meets football

anance 的头像
anance1 个月前

Hier sind Özbeks Sarr Transfers 😂 @GaddarAbi

KristjanBI 的头像
KristjanBI1 个月前

THey all look like Bruno Fernandes

XZYZ0R 的头像
XZYZ0R1 个月前

Wait for some years and see how the programming is evolving and then come back

Jeffochusflow MUnited 的头像
Jeffochusflow MUnited2 个月前

Lol 😂 😂

Alberto 的头像
Alberto1 个月前

Pues Santiago Jiménez se cayó solito… igualito que los robots. El Layun patea igual la pelota que el robot azul.

GM. Kagisha Tadeo 的头像
GM. Kagisha Tadeo1 个月前

😂

JX🐐 的头像
JX🐐2 个月前

They play better than ferran

Foxy 的头像
Foxy1 个月前

These robots still have better decision-making than a certain Ballon d'Or winner in big games. PR machine.

SomethingFishy 的头像
SomethingFishy1 个月前

One of them robots have already replaced a few players

TechLife Robotics 的头像
TechLife Robotics1 个月前

These humanoid robot soccer matches look like chaotic fun, but under the hood, they represent the ultimate physical stress test for Embodied AI. Moving from rigid, handcrafted code to autonomous athletic locomotion requires solving extreme dynamic physics in real time: 1. Sim-to-Real Domain Randomization Instead of training on physical grass, neural networks play millions of parallel simulated matches with randomized friction, lighting, and sensor latency. Uploaded to physical hardware, the vision pipeline tracks a fast-moving ball at 60 FPS up to 20 meters away with >90% accuracy. 2. 500 Hz Whole-Body Control (WBCQP) Striking a ball on a 30 kg bipedal frame with a leg swinging at 5.5 m/s creates intense angular momentum. Quadratic programming calculates center-of-mass counter-torques 500 times per second, dynamically twisting the upper body and arms to preserve instantaneous single-leg balance. 3. Decentralized Multi-Agent Coordination & 2.5s Fall Recovery Without a central supercomputer, robots coordinate tactical passing via lightweight localized coordinate sharing learned through multi-agent self-play. When collisions occur, passive energy dissipation and ground-to-stand neural networks return the robot to a full sprint in under 2.5 seconds. These athletic breakthroughs are already spilling over into agile warehouse logistics and disaster rescue navigation across unstructured rubble. 👇 Full deep-dive video breakdown in the reply:

DATTI HAMISU 的头像
DATTI HAMISU1 个月前

Terrible players 😅

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