Meet PrimeBOT T1 ๐ค Price starts at RMB 19,999 (approx. US$2,960), Overseas pricing TBA.
They are scaling up and producing one humanoid robot off the line every 2.5 minutes, with capacity for 10,000 per month.
Introducing Digit 5.
Agilityโs next-generation humanoid, engineered for cooperatively safe work at scale, allowing it to work in close proximity to people without the physical safety barriers required by traditional automation.
Explore Digit 5: https://t.co/wurx6x4brm
Watch the full video: https://t.co/fOgRz9bzMd
I love this idea that the model visualizes what will happen before it acts.This feels one big step closer to robots working naturally around us.
#AGIBOT
AGIBOT releases GE-Act 2.0 โ the first native World Action Model to validate a pretraining and scaling path for embodied AI.
๐ Explore the project: https://t.co/zMHGNrCbX2
Trained entirely from scratch on embodied manipulation data: visual representation, future generation, and action prediction, all from random initialization. No inherited video generators. No task-specific fine-tuning.
Put straight to a ruthless real-robot zero-shot test โ unseen scenes, unseen objects, 100 atomic tasks, 20 skill categories, and two robot embodiments:
โ Data scaled 100ร: from 300 to 30,000 hours
โ Task success climbs from 17.1% to 44.1% on G1-OP โ with no sign of saturation
โ New skills emerge at scale: folding towels, nesting paper cups, uncapping pens, arranging flowers
โ Cross-embodiment transfer: G2-90D, under 2% of the training data, still gains 17.7 percentage points
โ Failure data becomes a training asset โ 2,000 hours of failed manipulations and deployment rollouts
A capable model envisions reality before it acts.
#AGIBOT #EmbodiedAI #WorldModel #PhysicalAI #Robotics
๐ค Who said humanoid robots canโt join the circus?
๐ฅ Jumping through a flaming hoop.
๐ช Pulling off a diabolo trick.
๐ชข Jumping rope in sync.
๐ฆ Working together to lift and carry.
What looks like a circus performance is actually a serious test of whether a robot can perceive, react, and move in real time.
Powered by AGILE 2.0, AGIBOT X2 takes on a series of dynamic tasks driven by vision โ turning visual perception into real-time, coordinated motion.
Welcome to the AGIBOT Circus. ๐ช๐ฅ
#AGIBOT #AGIBOTX2 #HumanoidRobots #EmbodiedAI #Robotics #AI
Lip sync is getting better. โก๏ธ
Servomotors are responding faster than before.
But thereโs a catch: some major behavioral regressions have appeared, with safety barriers being completely bypassed.
Progress isnโt just faster movementโitโs making sure the system stays safe as it gets better.
Even though fighting is just a test scenario, this tech could translate to many real-world jobs that need fast, on-the-spot physical responses.
#FutureTech
Unitree Breakthrough: The Worldโs First Real-Time World Model-Driven Fully Autonomous Humanoid Robot Combat๐ฅ
UnifoLM-X2-1.0 breaks through world-action foundation models' bottlenecks in instant planning, decision-making, and dynamic interactive execution, achieve high dynamics, strong interaction, real-time prediction and planning of the future, achieve fully autonomous combat for humanoid robots. This validates the fundamental feasibility of large-scale deployment of world model-driven humanoid robots.
Itโs wild how much performance gets crammed into such a tiny robot body. The form factor is charming, and I could see it unlocking lots of fun creative possibilities with AI features added.
#FutureTech#Robot
Damn, what is this MINI ROBOT?? ๐
His name is Beni. He looks like a cute little toy, but he can follow you, film you, and move at up to 28 km/h. Thatโs faster than most people can run.
Imagine giving this thing a camera, AI and a mission to follow you around all day.
Cute, yes. A little terrifying too.
Want robots in every home? You need unprecedented compute. Figureโs multi-billion-dollar GPU partnership with Nscale and NVIDIA. Hardware means nothing without enough training horsepower.
Today, weโre partnering with Nscale to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin Platform
We're committing $3.5 billion initially, with plans to scale beyond $6 billion
Bringing a robot into every home demands compute at an unprecedented scale
What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo?
Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment.
The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment โ keeping observations and actions aligned end to end.
Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination.
Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation.
TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks โ removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data.
This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes?
Watch the demo and read the technical blog: https://t.co/PgyFkrJdXG
#TwinDEX #Robotics #EmbodiedAI #DexterousManipulation
@Swagg man i quit gaming about a year and a half ago sold my console everything, and just grew out of it. Not really keeping up with anything or nothin. But seeing you join FaZe is honestly so dope, we know youve been grindin for that nd its well deserved, been supportin u๐คโ๐ฝ