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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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129,481 次观看 • 1 年前 •via X (Twitter)

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The Humanoid Hub 的头像

The Humanoid Hub1 年前

Technical Blog:

ARK Electronics 的头像

ARK Electronics2 年前

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 IV 的头像

Briscoe Crain IV1 年前

I’m buying more NVIDIA in the morning! 😂

Robot Machines 的头像

Robot Machines1 年前

This is the foreseeable future of robotics.

Appy Pie 的头像

Appy Pie1 年前

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 Grundström 的头像

Leo Grundström1 年前

Can this be used for video generation?

Brent 的头像

Brent1 年前

This Blew Me Away !!! 😮 Entire video:

Bruno P. Boutteau 的头像

Bruno P. Boutteau1 年前

Cosmos is not Newton for the moment.

odesha 的头像

odesha1 年前

Must try this out!

Uri Gil 的头像

Uri Gil1 年前

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.

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.

Sawyer Merritt

254,398 次观看 • 1 年前

Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

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17,092 次观看 • 5 个月前

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 NVIDIA Omniverse for taking the time!

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 NVIDIA Omniverse for taking the time!

amit

50,990 次观看 • 9 个月前

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.

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 次观看 • 1 年前

From autonomous vehicles to smarter factories, companies are putting physical AI to work. We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment. See how Porsche, Mercedes-Benz, Encord, Siemens, fogsphere, and LTX.io are using Cosmos across robotics, autonomous driving and factory operations 👇

From autonomous vehicles to smarter factories, companies are putting physical AI to work. We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment. See how Porsche, Mercedes-Benz, Encord, Siemens, fogsphere, and LTX.io are using Cosmos across robotics, autonomous driving and factory operations 👇

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18,363 次观看 • 8 天前

🤔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

🤔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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78,565 次观看 • 11 个月前

NVIDIA Cosmos 3 launches with a full model family — Cosmos Super for highest-accuracy robotics and AV post-training, Cosmos Nano for high-speed video and action reasoning, and Cosmos Edge for real-time edge inference. Read the release ➡️

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