Learning athletic humanoid tennis skills from imperfect human motion data
zzk273.github.ioImpressive! Looks like a nice alternative or evolutionary step for a ball machine.
It is interesting to watch. The movements of the robot are robot-like. I mean, wtf, there were no robot playing tennis before, but I have an idea how a robot playing tennis would be like, and this video confirms my expectations. Sharp, unsure movements, a lot of hesitation, ...
Movies pictured robots like this long before this become possible, but how did producers guessed it?
Or maybe movies rendered different kinds of robots, but this video bring into my memory only those, that look like this. A kind of confirmation bias?
Nothing constructive to say, besides that the video really shows we're entering into a Sci-fi era.
Very impressive. But it doesn’t solve the whole problem yet.
The robot and ball pose is estimated by high speed mocap cameras, and is fed to the policy.
I imagine estimating that with onboard cameras - how humans do it - is much harder.
Almost all of closed loop robotics is a state estimation problem. Control is “solved” if you can estimate state well enough.
We know. Just appreciate it for what it is. Which is…awesome.
Really impressive. In a few years there will be robotic AI instructors for the wealthy and their kids
Maybe for novelty, but the rich usually just pay humans to act like robots.
Why can some Temu humanoid robot do this sort of impressive, coordinated, high-speed thing, but Tesla Optimus completely sucks at everything unless they’re moving at 0.02m/s (and even then they’re not great)? Like, train this thing on the latent space of folding my clothes out of the dryer and I will send you my money.
Relax, it is one demo. It probably can't handle the millions of edge cases that exist in real life.
I’d be OK (and from a product perspective think it would be a win) if Optimus just mastered one high-value skill like clothes folding. Yet, here we are.
This just makes me want to play tennis right now. Such an addictive sports.