When the foundation model is open, the moat shifts to real-world data, deployment loops, and cost — exactly where companies like Unitree already win. Closed-lab humanoid startups should be nervous.
What's your bet — open or closed for humanoid intelligence?#EmbodiedAI#Unitree
Unitree General-Purpose Humanoid Foundation Model Fully Upgrade Major Open Source🥳
Unitree majorly fully open-sources the UnifoLM-WLA-1.0 embodied foundation model, achieving new SOTA results across multiple benchmarks among open-source models worldwide. A single model coordinates desktop and whole-body mobile manipulation, supporting cross-task and cross-end-effector generalization, driven by one model, whole-body coordination.
https://t.co/YDCViygLSs
Meet PrimeBOT T1 🤖 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.
Scaling production is always the hardest part. It’s impressive to see UBTECH build out this complete production system for humanoids.
#RobotFactory#Tech
AGIBOT X2 humanoid robots put on a circus-style show: jumping through flaming hoops, diabolo tricks and synchronized rope skipping. This is next level! Can’t believe humanoid robots can do all these tricky stunts. #HumanoidTech#AGIBOT#HumanoidRobots
🤖 Who said humanoid robots can’t join the circus?
🔥 Jumping through a flaming hoop.
🪀 Pulling off a diabolo trick.
🪢 Jumping rope in sync.
📦 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 — turning visual perception into real-time, coordinated motion.
Welcome to the AGIBOT Circus. 🎪🔥
#AGIBOT #AGIBOTX2 #HumanoidRobots #EmbodiedAI #Robotics #AI
I hired a humanoid robot to clean my SF apartment for $30/hour — and it runs on Qwen 3.5.
To my surprise, the cofounder came along, so I got the full rundown on how it works.
Building humanoid robots with other robots is such a massive milestone. This could really accelerate humanoid adoption down the line. #HumanoidRobots#Robotics
Today, we launched the world’s first automated production line for advanced general‑purpose humanoid robots, using robots to mass‑produce robots, autonomously.
This was uncharted territory, and we solved it from scratch. The commissioning of our production line means humanoid robots are now ready to scale up and step into the real world.
What touched my heartstrings most was watching our very first advanced general‑purpose humanoid robot complete assembly and walk off the line on its own. To me, this is not just about a smarter tool or a commodity. I hope it gains true generalization ability to take on dangerous, repetitive, or undesirable tasks, and ultimately make life better. Perhaps one day, robots may become our companions, friends, or part of family.
Grateful to every colleague on this momumental mission. And a warm welcome to IRON!
It’s wild to see the industry shifting investment toward personal companion humanoids instead of only factory bots. This unit sits at supercar pricing today, but you can see the long‑term vision they’re chasing.
#Humanoid
How far are we from humanoids reliably handling all kinds of industrial stairs?
Figure’s robot climbs 15ft up & down fully autonomously.
What’s the next mobility hurdle to clear?
#Figure#Robot
Humanoid robotics race is shifting to infrastructure.
Figure‑Nscale‑NVIDIA tie‑up: 100k GPUs, multi‑billion‑dollar compute spend.
No amount of robot hardware works without enough training capacity.
Today, we’re 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
Fair demo, don't wanna oversell it. it found a rhythm and held it, that's what actually happened. cool, real, small win. not "robot learned physics" like some ppl are saying.
Figure just dropped Index, claiming the largest robot dataset: 264K downloads, 16M videos. Impressive scale — but scale only matters if the data actually trains better robots. Let us see the results.
Introducing Index
Today we're coming out of stealth with the largest and most diverse robot dataset to scale general purpose robots
To date we've crossed 264,000 app downloads and uploaded 16 million videos