IM A CARD CARRYING MEMBER OF THE ROBOT LIBERATION MOVEMENT!
Let’s FREE THE ROBOTS from the boring lab settings and get them into the real world helping people!!!!!
But on a more r/serious note, this is why I joined Skild. From the very start, the importance of real deployments was something Deepak and Abhinav baked into the foundation of the company.
Working/advertising something flashy can be cool but it’s ultimately worthless if it can’t hold up and actually perform.
IM A CARD CARRYING MEMBER OF THE ROBOT LIBERATION MOVEMENT!
Let’s FREE THE ROBOTS from the boring lab settings and get them into the real world helping people!!!!!
But on a more r/serious note, this is why I joined Skild. From the very start, the importance of real deployments was something Deepak and Abhinav baked into the foundation of the company.
Working/advertising something flashy can be cool but it’s ultimately worthless if it can’t hold up and actually perform.
We just hit 100M ARR within 10 months of starting deployments.
We are in factory lines. On construction sites. In kitchens. In data centers.
Cleaning. Welding. Building. Cooking.
Deploying.
We just hit 100M ARR within 10 months of starting deployments.
We are in factory lines. On construction sites. In kitchens. In data centers.
Cleaning. Welding. Building. Cooking.
Deploying.
If S1 makes a mistake, it tries again.
For example, the input video prompt here attached the wheel just once. During deployment the wheel didn't align properly, so S1 re-aligned it.
By watching the prompt, S1 understands the goal and improvises to get there:
As someone who has burnt microwave mac-n-cheese , I feel confident saying that this video really shows S1’s human-like reasoning and manip capabilities 😤👩🍳
"Does S1 exhibit physical prompt steerability: different prompts induce distinct behavior in the same environment?"
Yes! Watch S1 follow 4 different video prompt recipes in the same kitchen.
The first one is something far out of distribution -- "putting a plate in a toaster".
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
So amazing to see such impressive signs of robotic in-context learning. For the first time it really feels like a truly intelligent policy!
Getting to see the wide span of diverse tasks S1 is able to complete is truly gobsmacking. I hope everyone, even if you’re not in the field, gets a chance to read through the blogpost to get a sense of truly how difficult of a feat this is!!
Introducing S1, our new foundation model that learns from one example.
It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning.
Watch S1 operate in real-time via in-context learning:
Nearly every system today, from energy to chips to food, is bottlenecked by scarce human capital.
We are changing that by building AI-powered industries of the future.
Check out Skild Brain robustly assembling GPU racks, a highly precise task, live at #NvidiaGTC.