GPT-6 Astra is the first model that makes robot control look like a software problem again.
We've been trying for years to make robots usable outside the lab. last couple of months that work actually moved. not a cheaper arm. a model that looks at the camera, misses, and changes
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We are already running simulations at scale, testing robots across different environments and under constantly changing conditions. This is a crucial step toward achieving true reliability and ensuring that robots can perform safely and consistently in the real world.
Robot policies can succeed in a demo and still fail as tasks, environments, and conditions change.
With open-source Isaac Lab-Arena 0.3, developers can use an experimental agentic workflow to generate environments, evaluate policies at scale, and identify where and why failures
GPT-6 Astra is the first model that makes robot control look like a software problem again.
We've been trying for years to make robots usable outside the lab. last couple of months that work actually moved. not a cheaper arm. a model that looks at the camera, misses, and changes grip angle and carry height on the next try.
Nvidia cosmos folks say it cracked RoboLab near-perfect. people who lived in VLAs say they have not seen this kind of image-to-action understanding before. the old line was "LLMs cannot control robots." the new line is "which setup."
It is still slow. ~15 second loops, the arm sitting idle while the model thinks, then flying blind until the next cycle. hardware still matters. a 48-task robotics-engineering bench exists because control is not the whole job.
But training and eval got cheap enough that more teams can actually run them. next months you will see more of that land in boring use cases, not just lab clips. that is the part that was supposed to take a decade.
We are confident our ecosystem will play a huge role in that.
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Rent one for as long as you need it - anywhere in the world.
And if your robot is sitting idle, we can put it to work.
1B+ robots is a massive hardware challenge.
But making them useful at scale is a software challenge.
We’re building the layer that teaches robots what to do.
Elon Musk: “When you make the robots, the robots will start manufacturing the robots, so you get a recursive effect
It starts off very slowly, but then it grows at an explosive rate”
“10 years from now, I would say there are well over a billion humanoid robots"
"And those
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Please everyone be sure to use the robot in a Friendly and Safe manner.
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