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Turns out that doing In-context learning for robots is not that hard...

273,623 просмотров • 17 дней назад •via X (Twitter)

Комментарии: 25

Фото профиля ismaelvega
ismaelvega17 дней назад

it's right behind me isn't it

Фото профиля Chenhao Li
Chenhao Li17 дней назад

@chris_j_paxton I feel this is a not very well-defined area where we know how “OOD” the task is.

Фото профиля Chongkai Gao
Chongkai Gao16 дней назад

What's the difference between in-context learning and those one-shot imitation learning papers from several years ago? I think there demo are very similar:

Фото профиля Kamal Gupta
Kamal Gupta17 дней назад

I like the robot wearing meta glasses. Also wuji hands?

Фото профиля Isaac Sin
Isaac Sin17 дней назад

nice @BillyYYan

Фото профиля Daneel
Daneel17 дней назад

Oh my! Third in context learner robot in the last few weeks and first I’ve seen with a humanoid. Nice!

Фото профиля Samay Maini
Samay Maini16 дней назад

@BillyYYan this is great!

Фото профиля seanpixel 🫧
seanpixel 🫧17 дней назад

@chris_j_paxton are those Aria glasses?

Фото профиля Anto Patrex
Anto Patrex17 дней назад

Very true. But the real question is: how do we scale this data, and how accurate and reliable are these actions once they’re deployed in real production environments?

Фото профиля Ishmael59
Ishmael5917 дней назад

What happens if you move the bowl?

Фото профиля Aryan Dhawan
Aryan Dhawan8 дней назад

How sensitive is it to the context you give it? Picking an example that actually disambiguates the task seems like it could become half the work.

Фото профиля Joseph Sottile 🌊 | Diffraction
Joseph Sottile 🌊 | Diffraction17 дней назад

@chris_j_paxton Any reason for having your hands in that particular starting/neutral position?

Фото профиля Puzzle Paws
Puzzle Paws17 дней назад

man, 'not that hard' on a clean table with two objects. real world generalization is the hard part. my cats would break this in ten seconds flat.

Фото профиля Armeen
Armeen13 дней назад

In-context adaptation is the most promising route past per-task finetuning. The eval that would convince me: a demo given in one room, then executed in a room the policy never saw, with the object swapped for a same-category variant.

Фото профиля /
/16 дней назад

do a more complex grasp, like a hammer or something. Squishing a soft toy is trivial.

Фото профиля Roman Li | AI-powered GTM
Roman Li | AI-powered GTM16 дней назад

Impressive. The product question is no longer whether a robot can learn in context, but whether a non-expert user can provide the right demonstration reliably. The teams that turn that teaching loop into a simple, observable UX will have a real adoption advantage.

Фото профиля Samuel Ekpe
Samuel Ekpe17 дней назад

@xiaolonw This is cool

Фото профиля Oliver
Oliver16 дней назад

And how does it look without the context?

Фото профиля nnnnn
nnnnn16 дней назад

can it learn to wash the dishes this way?

Фото профиля Robert Blank
Robert Blank16 дней назад

Just add some legs to increase the cost and complexity and you’ve got a humanoid

Фото профиля Andrew I. Christianson
Andrew I. Christianson17 дней назад

VLA model?

Фото профиля Sadly life respecter
Sadly life respecter17 дней назад

What robot is this. The arms look very human like

Фото профиля Krishna Nagam
Krishna Nagam16 дней назад

Now I understand where robots get such robotic movements. Infact robot movements are more human like than the person teaching it.

Фото профиля Weijie Wang
Weijie Wang15 дней назад

what is the Glasses, it is the secrete , how this demo work

Фото профиля ovoDRIZZYxo
ovoDRIZZYxo16 дней назад

u need another bot, thats taking it out

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