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IFP @_brianpotter explains why robots can perform kung fu but still struggle to pick up and manipulate everyday objects: "There’s been two main ways of getting data. One is teleoperation, kind of like a video game. Somebody with a controller is steering a robot around. It’s really slow and expensive. The other way is simulation. You can run a million robots in simulation." "The reason that you can see robots good at walking and good at doing kung fu is because that sort of motion is…
MTS@MTSlive3h ago
FULL INTERVIEW: Brian Potter says robots learned kung fu before they learned to pick things up because motion is easy to train in simulation and grabbing objects isn't. The fix catching on now is putting "Hulk hands" with cameras on humans to record the data. @_brianpotter writes Construction Physics and is a senior infrastructure fellow at @IFP. He joined @theojaffee and @schisofrenia to break down how AI drives robots, why prefab houses still can't beat hand tools, and the rise and fall of the plasma screen: 00:56 the rise and fall of the plasma screen 04:40 how vision-language-action models drive robots 06:33 why data is the hardest part of robotics 07:46 GPT-6 Astra, and whether frontier models make robot models obsolete 09:51 teleoperation vs simulation 10:18 why robots can do kung fu but can't grab things 11:07 UMI, or giving humans Hulk hands 11:56 how to actually learn how things get built 16:47 why prefab houses still can't beat hand tools 18:12 if we can prefab chips, why not houses 19:07 why cheap robots could fix construction
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