# Umi

> Markdown twin of https://roboterminal.app/companies/umi · https://roboterminal.app/companies/umi.md

## On shared sources

- [Anthropic](https://roboterminal.app/companies/anthropic) (6)
- [OpenAI](https://roboterminal.app/companies/openai) (6)
- [Periodic Labs](https://roboterminal.app/companies/periodic-labs) (6)
- [a16z](https://roboterminal.app/companies/a16z) (5)
- [Apple](https://roboterminal.app/companies/apple) (5)
- [Chestnut](https://roboterminal.app/companies/chestnut) (2)
- [proception](https://roboterminal.app/companies/proception) (1)
- [SpaceX](https://roboterminal.app/companies/spacex) (1)
- [sundayrobotics](https://roboterminal.app/companies/sundayrobotics) (1)
- [xAI](https://roboterminal.app/companies/xai) (1)

## Pulse

- [@michellelsun on X](https://x.com/michellelsun/status/2112967195232023038)
  appreciate @pronounced_kyle's framing of "read" "write" access between digital and physical worlds. One of the fundamental challenges for automating manufacturing is to solve for the digital-to-physic…
- [@a16z on X](https://x.com/a16z/status/2112675339298349279)
  Ekin Dogus Cubuk of @periodiclabs on why AI has to learn from the physical world, and building their own lab to close that loop: "One of the more fundamental ways of making things around us is powder …
- [@a16z on X](https://x.com/a16z/status/2112665201170604185)
  AI models are getting close to designing hardware better than humans, and that shifts where the hard problems are: - Better simulation, so physical builds become confirmation instead of experiments - …
- [@a16z on X](https://x.com/a16z/status/2112655271042650544)
  "It took me three months to design it, but it's nine months until I can actually start to use it." Former Intel CEO Pat Gelsinger on the manufacturing bottleneck between designing hardware with AI and…
- [@a16z on X](https://x.com/a16z/status/2112645028829069593)
  For AI to become a superhuman hardware engineer, it has to learn from the physical world, and real-world data is hard to get: - It's non-uniform and constantly changing - It's sparse: you can't measur…
- [@a16z on X](https://x.com/a16z/status/2112625042639167835)
  AI is on track to become a superhuman hardware designer, but design is only the beginning. The interface between bits and atoms is lossy, and turning designs into real hardware gets harder at every le…
- [@ZappyZappy7 on X](https://x.com/ZappyZappy7/status/2108320128740040751)
  『拡張性の高い人体操作データ収集用外骨格』 https://t.co/WOKWHxFjii #exoskeleton #manipulation #DataCollection #PhysicalAI #UMI #interface #WearableDevice #AeroHand #ChestnutRobotic https://t.co/qCm1E6HlIw
- [@chris_j_paxton on X](https://x.com/chris_j_paxton/status/2105495026125963278)
  I really want to know more about how their stack works because the videos are consistently mind blowing. very very fast and smooth, humanlike motion. Fairly sure this is UMI-style work, not teleop dat…
- [@TheHumanoidHub on X](https://x.com/TheHumanoidHub/status/2104657379770118214)
  UMI, but for humanoid hands. UMI-style capture already works great for simple grippers. For a high-DOF hand, where the action space is huge and contact force carries the important signal, matching the…
- [@maganjot79705 on X](https://x.com/maganjot79705/status/2092155986027110708)
  the most interesting hardware in robotics isn't robots. @sundayrobotics built a skill capture glove so regular people can record chores. proception built a glove for dexterous hand data. UMI turned gr…

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Source: Roboterminal · https://roboterminal.app/companies/umi.md