The Ledger
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Finn: Biggest risk in generalist robotics is technical failure, not competition
“The last thing that I'll mention is that I think the biggest risk with this bet is that it won't work. Like, I'm not really worried about competitors. I'm more worried that no one will solve the problem.”
Finn: Robot training data transfers across different physical hardware embodiments
“We've seen a lot of evidence that you could actually transfer a lot of rich information across these different embodiments and allows you to use data. And also if you iterate on your robot platform, you don't have to throw all your data away.”
Finn: Wrist-mounted RGB cameras capture much of what tactile sensors provide
“And we found that actually that mounting RGB cameras to the wrists ends up being very, very helpful and probably giving you a lot of the same information that tactile sensors can give you.”
Finn: Physical Intelligence's current state-of-the-art robot policies operate entirely without memory
“The other thing that I'll mention is actually right now we're most like, our policies right now do not have any memory. They only look at the current image frame. They can't remember even half a second prior.”
Finn: Pre-trained VLMs let robots perform tasks with unseen internet concepts
“We had a research result
a couple years ago where we showed that if you leverage vision language models, then you could actually get the robot to do tasks that require concepts that were never in the robot's training data, but were in the internet.”
Finn: Embodied AI and motor control are underrated compared to language models
“I feel like actually people underestimate how much intelligence goes into motor control. Many, many years of evolution is what led to us being able to use our hands the way that we do. And there are many animals that they can't do it even though they had so mu…”
Finn: General multi-robot models outperformed research labs' custom single-robot policies
“We actually found that we could take a checkpoint, send that model checkpoint to another lab halfway across the country, and the grad student at that lab could run the checkpoint on the robot, and it would actually More often than not do better than the model …”
Physical Intelligence aims to build a single model for any robot
“So we're trying to build a big neural network model that could ultimately control any robot to do anything in any scenario.”
Finn: Current robotic tactile sensors are fragile, expensive, or low-resolution
“Unfortunately, a lot of the tactile sensors that are out there Are either far less robust than skin, far more expensive or very, very low resolution.”
Finn: Direct action policies fail on long-horizon multi-minute robotics tasks
“If you need to do like a longer horizon task, meaning a task that might take minutes to do, then if you just train a single policy to like output actions based on images like if you're trying to make a sandwich and you train a policy that's just outputting the…”
Finn: Physical Intelligence gives robot designs directly to hardware companies
“We've not only have we open-sourced some of the weights and released details in, in technical papers, we've actually also been working with hardware companies and giving designs of robots to hardware companies.”
Finn: Google's code security rules made real-world robot data collection nearly impossible
“As one example, taking a robot off campus was like almost a non-starter just for code security reasons. And if you want to collect diverse data, taking robots off campus is, is valuable.”
Physical Intelligence prioritizes cheap robots for faster teleoperation data collection
“That's one of the things we're kind of optimizing for, and so we're using cheap robots. We're using robots that we can very easily develop teleoperation interfaces for, in which you can do teleoperation very quickly and collect diverse data, collect lots of da…”