Sinan Akkoyun @Sinan_Akkoyun2
Joined December 2020-
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@teleoflexuous I did not get a result like this at all, how did this happen?
haha, it's like there's a little person in there!
How can robots acquire fine-grained manipulation skills? Introducing ACT: Action Chunking with Transformers 🤖 Key idea: Imitation, but predict actions in chunks instead of one at a time. Here are results with only ~15min of demonstrations, running on low-cost arms:
Just built another ALOHA🏖️ @Stanford! Rumor said there are now more than 20 ALOHAs in the world 👀 Notice the new grippers? Folks at @GoogleDeepMind actually redesigned it and kind enough to open source. We will be announcing it shortly!
Visualization of forward kinematics on Widow-X250-6DOF implemented in Pytorch and visualized in vpython. Joint angles are from backdriving the arm. code: github.com/MindFactoryAI/…
Needed a few spares for the bot. Figured best to start making my own.
Test of slotting battery, first run.
And here it is from a different initial state. Should work for any combination of battery and remote positions.
How can robots learn generalizable manipulation skills for diverse objects? Going beyond pick-and-place, our recent work “HACMan” enables complex interactions for unseen objects, such as flipping, pushing, or tilting, using spatial action maps + RL with point clouds. (w/ @metaai)
Excited to share some exciting results from my team & colleagues! Few-shot teaching is one of those holy-grail problems in robotics that, once done right, will have a HUGE impact. In RoboTAP we took a swing at this using TAPIR, and I was honestly blown away at the result!
Trying to settle a debate with a friend What are these called?
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