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Do AI robots see the world like we do? I dove head first into latent space to uncover the attention maps that show how my robot sees and understands the world.

44,266 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

Ville 🤖 profil fotoğrafı
Ville 🤖1 yıl önce

Initially, the robot struggles to locate the capsule to pick, but gradually becomes more certain of the exact pick location. As the task succeeds for capsule 1, attention rapidly shifts to capsule 2 in the background

Ville 🤖 profil fotoğrafı
Ville 🤖1 yıl önce

To me these attention maps prove that AI robot models like ACT make efficient use of the visual information they have access to. I also believe improvements in model performance should be directly visible as more focused attention maps

Ville 🤖 profil fotoğrafı
Ville 🤖1 yıl önce

The algorithm behind this will be open-sourced and compatible with ACT policy in @LeRobotHF (probably this weekend) so stay tuned!

VistaShares profil fotoğrafı
VistaShares1 yıl önce

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C Zhang profil fotoğrafı
C Zhang1 yıl önce

So such visual policies are like a neural state estimator plus a burnt-in tracker? 🤔

Dominique Paul profil fotoğrafı
Dominique Paul1 yıl önce

Man this is super cool!

Josh Ohara profil fotoğrafı
Josh Ohara1 yıl önce

That's super cool, is this just a reconstruction of the attention scores per pixel?

Ville 🤖 profil fotoğrafı
Ville 🤖1 yıl önce

Yes though it’s not quite as simple as that, the transformer model compresses the image a lot, there’s some computer vision magic to upscale that compressed view into the full image you see here that I don’t fully understand 😅

Josh Ohara profil fotoğrafı
Josh Ohara1 yıl önce

Also, is your web app for lerobot open source? Looks really cool.

Ville 🤖 profil fotoğrafı
Ville 🤖1 yıl önce

The app itself is not but the Python libraries that power it will be though it will take time for us to organise everything into a proper library

Tech Ren profil fotoğrafı
Tech Ren1 yıl önce

dinov2?

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