Atlas is demonstrating reinforcement learning policies developed using a motion capture suit. This demonstration was developed in partnership with Boston Dynamics and @rai_inst.
Atlas is autonomously moving engine covers between supplier containers and a mobile sequencing dolly, using ML to detect and localize the environment fixtures and individual bin. There are no prescribed or teleoperated movements. youtu.be/F_7IPm7f1vI
The fact that context was added to this video is interesting. in the limit, it should make no difference to a user whether a robot is being teleoperated or moving autonomously if it gets its job done. that *should* only matter to the seller
The fact that context was added to this video is interesting. in the limit, it should make no difference to a user whether a robot is being teleoperated or moving autonomously if it gets its job done. that *should* only matter to the seller
it’s so nice to have friends who will do what they can to push you out of your local minima even when they’re far too busy to. I wanna pay all those acts forward tenfold
demand for this is probably low but it would be nice if there were publicly available robots that could be “rented” by hobbyists/independent researchers/engineers/robotics software orgs when they aren’t being used
(And if there are, lmk where)
I have more friends than usual attending neurips this year. I’ve never really cared about neurips much before, and I’m generally not a huge fan of academic confs anymore, but I do feel a teeny bit of fomo rn…
The future doesn’t just arrive; it has to be built. What does that mean for writing about technology?
The third issue of @kernel_magazine is out today, and you can get your copy now at shop.kernelmag.io ⚡
what’s the closest thing we have to a “universal physics simulator”? that is, one that models as many complex processes as possible (eg liquids, cloth, meat, cracking)?
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