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

277,898 просмотров • 2 месяцев назад •via X (Twitter)

Комментарии: 25

Фото профиля ismaelvega
ismaelvega2 месяцев назад

it's right behind me isn't it

Фото профиля Chenhao Li
Chenhao Li2 месяцев 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 Gao2 месяцев 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 Gupta2 месяцев назад

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

Фото профиля Isaac Sin
Isaac Sin2 месяцев назад

nice @BillyYYan

Фото профиля Daneel
Daneel2 месяцев 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 Maini2 месяцев назад

@BillyYYan this is great!

Фото профиля seanpixel 🫧
seanpixel 🫧2 месяцев назад

@chris_j_paxton are those Aria glasses?

Фото профиля Anto Patrex
Anto Patrex2 месяцев 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
Ishmael592 месяцев назад

What happens if you move the bowl?

Фото профиля Aryan Dhawan
Aryan Dhawan1 месяц 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 🌊 | Diffraction2 месяцев назад

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

Фото профиля Puzzle Paws
Puzzle Paws2 месяцев 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
Armeen1 месяц 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 /
/2 месяцев 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 GTM2 месяцев 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 Ekpe2 месяцев назад

@xiaolonw This is cool

Фото профиля Oliver
Oliver2 месяцев назад

And how does it look without the context?

Фото профиля nnnnn
nnnnn2 месяцев назад

can it learn to wash the dishes this way?

Фото профиля Robert Blank
Robert Blank2 месяцев назад

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

Фото профиля Andrew I. Christianson
Andrew I. Christianson2 месяцев назад

VLA model?

Фото профиля Sadly life respecter
Sadly life respecter2 месяцев назад

What robot is this. The arms look very human like

Фото профиля Krishna Nagam
Krishna Nagam2 месяцев 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 Wang2 месяцев назад

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

Фото профиля ovoDRIZZYxo
ovoDRIZZYxo2 месяцев назад

u need another bot, thats taking it out

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