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NVIDIA just introduced Cosmos, a platform for world foundation models designed for robotics. ⦿ It features advanced tokenizers, an AI-accelerated data pipeline, and integration with NVIDIA Omniverse. Humanoid makers 1X, Figure, and Agility are among the first to adopt Cosmos. ⦿ Cosmos generates synthetic, physics-based data, accelerating model training... show more

The Humanoid Hub

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129,383 views • 1 year ago •via X (Twitter)

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The Humanoid Hub1 year ago

Technical Blog:

ARK Electronics1 year ago

Excited about the latest tech for your drone product? Our NDAA-compliant, US-made flight controllers are designed to accelerate your path to market and provide a solid platform for developing your autonomous software. Check them out! #Drones #UAV #UAS #Robotics #MadeInUSA

Briscoe Crain IV1 year ago

I’m buying more NVIDIA in the morning! 😂

Robot Machines1 year ago

This is the foreseeable future of robotics.

Appy Pie1 year ago

Game-changer for robotics! Cosmos is setting a new standard for scalable training and deployment. Excited to see how pioneers like 1X and Agility leverage this!

Leo Grundström1 year ago

Can this be used for video generation?

Brent1 year ago

This Blew Me Away !!! 😮 Entire video:

Bruno P. Boutteau1 year ago

Cosmos is not Newton for the moment.

odesha1 year ago

Must try this out!

Uri Gil1 year ago

Havent they already announced that? I didn't hear of anybody who uses those two train robots

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NEWS: Nvidia has just introduced "Cosmos," a world foundation model created to understand the physical world. The model can generate synthetic data to train robotics.

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A humanoid robot policy trained solely on synthetic data generated by a world model. Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline: ⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data. That's it. Deploy zero-shot to a real humanoid robot.

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20,968 views • 11 months ago

Sat down with Rev Labaredian, VP of Omniverse & Simulation Technology @ NVIDIA, to discuss the age of physical AI, how companies are using NVIDIA's Cosmos models, and why Robotics continues to accelerate. Thank you to Rev NVIDIA Robotics @NVIDIAOmniverse for taking the time!

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50,947 views • 4 months ago

Fun fact: 11% of the 20M hours of data that trained NVIDIA AI Developer Cosmos was driving footage. I put it to the test. Here are some of my favorites. I have a guide for generating videos locally with Cosmos. Watch it here: #AI #GenerativeAI

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12,386 views • 1 year ago

🤔Want a principled way to RL your diffusion model? Check Data-regularized Reinforcement Learning (DDRL)! Post-train NVIDIA #Cosmos World Foundation models with a million GPU hours! 🤯 Novel formulation ➡️ Theoretically integrates SFT into RL ➡️ Robust to Reward Hacking 🛑 Details: #DDRL #Diffusion #RL #NVIDIA #Cosmos

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46,156 views • 14 days ago

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