A One-Person Factory: Instant Robot Learning Enables Rapid Task Deployment
Chris Paxton from X Robotics demonstrates a one-shot, one-person factory using instant robot learning, where three different bimanual robots collaborate on a packaging task without prior exposure to the objects, trained entirely in simulation.
Source: Chris Paxton — X Robotics · Read original article ↗
Article text · Original source · English
Videos like this, to me, really show the future. It's a ways off still, but this is what a "real world" claude should look like -- a guy can unpack his robots, show them a task, and get them doing something useful basically right away, even though they can't be fully trusted on their own yet.
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
training_time
2 minutes
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Normally, this would take weeks of system integration, but it took us two minutes to teach.
Open source S5
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Normally, this would take weeks of system integration, but it took us two minutes to teach.
Open source S5
We’ve built a one-shot, one-person factory! We taught a robot assembly line using Instant Robot Learning at @Machenta_. Normally, this would take weeks of system integration, but it took us two minutes to teach. See the video below 👇 Three different bimanual robots are collaborating on a packaging task. All three robots: • Have different camera setups. • Were taught using different teaching modes. But they all run the same end-to-end model. The model has never seen these objects before. It was trained 100% in simulation, and these objects were not in the simulation. I was also asked about this one-person factory at @MTSlive. Check out our conversation below!View the quoted post on X
Source：Chris Paxton · x.com