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Introducing SimReadyGen. Agentic simulation generation for Physical AI. From a text prompt to physically accurate SimReady assets at scale. Robot training demands physically accurate environments at a scale traditional asset creation can't match. SimReadyGen closes that gap. Every generated asset carries measured physics, not estimates. Behind it is SimReady...

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Lightwheel

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12,358 görüntüleme • 3 ay önce •via X (Twitter)

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clankr profil fotoğrafı
clankr3 ay önce

It’s fascinating to see how quickly GenAI is entering robotics. The assets look high quality too. Every step that makes researchers’ work easier brings Physical AI closer to reality.

Bblack profil fotoğrafı
Bblack3 ay önce

Text prompt → SimReady assets with real physics. This is how we scale Physical AI 🤖

RAZA | AI EXPLORER profil fotoğrafı
RAZA | AI EXPLORER3 ay önce

The future of robot training looks incredibly promising with tools like this. Wishing continued success for SimReadyGen.

Alice The Ai Expert profil fotoğrafı
Alice The Ai Expert3 ay önce

Amazing Lightwheel AI Text to SimReady. Real physics, ready to train.

ZenithAi profil fotoğrafı
ZenithAi3 ay önce

A meaningful advancement for scalable and realistic robotics simulation

Ella Tech & Tool profil fotoğrafı
Ella Tech & Tool3 ay önce

This is massive Measured physics text to SimReady huge for robotics

Aina Ai | Tools & Updates profil fotoğrafı
Aina Ai | Tools & Updates3 ay önce

Text prompt to real world physics SimReadyGen builds simulation assets that actually behave like reality

Elara AI profil fotoğrafı
Elara AI3 ay önce

This is how robot training finally gets real world physics

Mirrorworld AI profil fotoğrafı
Mirrorworld AI3 ay önce

SimReadyGen scales the environments we need for domain randomization. Our sim layers still tune the physics fidelity on top of those assets.

ZenithAi profil fotoğrafı
ZenithAi3 ay önce

A major step forward for realistic AI robotics simulation

Benzer Videolar

SimReady assets generated from a simple prompt! No 3D artist needed. Last week at SIGGRAPH, Lightwheel launched SimReadyGen - an agentic SimReady asset generator. Since then, our team has been improving the experience, including an in browser asset viewer. I recorded this quick video to give you a peek of what the generator looks like. Want to give it a try? You an access it today at #PhysicalAI #Simulation
4:04

SimReady assets generated from a simple prompt! No 3D artist needed. Last week at SIGGRAPH, Lightwheel launched SimReadyGen - an agentic SimReady asset generator. Since then, our team has been improving the experience, including an in browser asset viewer. I recorded this quick video to give you a peek of what the generator looks like. Want to give it a try? You an access it today at #PhysicalAI #Simulation

Jonathan Stephens

11,622 görüntüleme • 3 ay önce

Real → Sim → Robot — fast. With Gaussian splats, GRID brings physical assets into simulation tools like AirGen and NVIDIA Isaac Sim, enabling AI skills to be tested in sim and deployed to real robots in minutes. #Robotics #PhysicalAI #Simulation
0:58

Real → Sim → Robot — fast. With Gaussian splats, GRID brings physical assets into simulation tools like AirGen and NVIDIA Isaac Sim, enabling AI skills to be tested in sim and deployed to real robots in minutes. #Robotics #PhysicalAI #Simulation

General Robotics

12,257 görüntüleme • 1 yıl önce

Hours of manual asset authoring => Down to 1–2 minutes with 1 prompt. SR Platform generates interactive, simulation-ready 3D assets for training robotics, complete with articulated objects and physics. Native support for MuJoCo and NVIDIA Isaac Sim. Coming in July!
0:54

Hours of manual asset authoring => Down to 1–2 minutes with 1 prompt. SR Platform generates interactive, simulation-ready 3D assets for training robotics, complete with articulated objects and physics. Native support for MuJoCo and NVIDIA Isaac Sim. Coming in July!

Strike Robot

12,942 görüntüleme • 4 ay önce

This completely changes how robots can learn in simulation. NVIDIA just launched SimReady Central with 3,500+ simulation ready OpenUSD assets free and ungated on Hugging Face. ➝ Robot arms grippers hospital equipment warehouse gear kitchens. Lightwheel is the largest contributor to the library. Its assets are physics validated with measured mass and inertia tuned collision geometry and joint limits that hold under contact. These are more than pretty meshes. ➝ A robot in simulation learns from how objects collide how heavy they are what moves and how far. If an object looks right but behaves wrong it teaches the policy the wrong lesson.
2:18

This completely changes how robots can learn in simulation. NVIDIA just launched SimReady Central with 3,500+ simulation ready OpenUSD assets free and ungated on Hugging Face. ➝ Robot arms grippers hospital equipment warehouse gear kitchens. Lightwheel is the largest contributor to the library. Its assets are physics validated with measured mass and inertia tuned collision geometry and joint limits that hold under contact. These are more than pretty meshes. ➝ A robot in simulation learns from how objects collide how heavy they are what moves and how far. If an object looks right but behaves wrong it teaches the policy the wrong lesson.

Techniahqrobot | humanoid robots

21,933 görüntüleme • 15 gün önce

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.
4:31

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.

CyberRobo

17,092 görüntüleme • 5 ay önce

From a single image to a full robotics simulation. 360 image → Marble → 3D environment → Robotics sim This is how we scale world creation for embodied AI with Lightwheel, turning lightweight capture into simulation-ready environments in minutes, not weeks.
0:36

From a single image to a full robotics simulation. 360 image → Marble → 3D environment → Robotics sim This is how we scale world creation for embodied AI with Lightwheel, turning lightweight capture into simulation-ready environments in minutes, not weeks.

World Labs

46,615 görüntüleme • 10 ay önce

Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.
3:32

Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.

The Humanoid Hub

130,388 görüntüleme • 1 yıl önce

The RL era of robotics is here, and simulation is how to scale it. An early look at our research on a achieving a better scaling paradigm for robot learning with simulation 👇
1:59

The RL era of robotics is here, and simulation is how to scale it. An early look at our research on a achieving a better scaling paradigm for robot learning with simulation 👇

Moonlake

477,120 görüntüleme • 6 gün önce

Big news! World Labs' Marble is officially compatible with NVIDIA Robotics' Isaac Sim. Instead of showcasing their highlight reel, our team at Lightwheel created a full environment from a 360 pano using Marble and showed you can train directly in sim. The only non-generated assets are the robot arms, coffee, and bowl. Everything else was generated with Marble. Not sure how to do this yourself? NVIDIA wrote a technical blog with full instructions. You will learn how to: 1. Export scenes from World Labs' Marble as Gaussian splats 2. Convert to USD using NVIDIA Omniverse NuRec 3. Import into NVIDIA Isaac Sim 4. Add a robot and run the simulation Read the guide ➡️ #WorldModels #Robotics
0:32

Big news! World Labs' Marble is officially compatible with NVIDIA Robotics' Isaac Sim. Instead of showcasing their highlight reel, our team at Lightwheel created a full environment from a 360 pano using Marble and showed you can train directly in sim. The only non-generated assets are the robot arms, coffee, and bowl. Everything else was generated with Marble. Not sure how to do this yourself? NVIDIA wrote a technical blog with full instructions. You will learn how to: 1. Export scenes from World Labs' Marble as Gaussian splats 2. Convert to USD using NVIDIA Omniverse NuRec 3. Import into NVIDIA Isaac Sim 4. Add a robot and run the simulation Read the guide ➡️ #WorldModels #Robotics

Jonathan Stephens

13,783 görüntüleme • 10 ay önce

New NVIDIA physical AI agent-ready skills are changing how robotics researchers work. 🤖 With NVIDIA robotics skills, researchers can automate the most common development steps from scene preparation to simulation and learning with Omniverse libraries, Isaac frameworks, and physical AI open datasets. Specialized skills like Isaac Mobility extend that even further. Learn more ➡️
0:24

New NVIDIA physical AI agent-ready skills are changing how robotics researchers work. 🤖 With NVIDIA robotics skills, researchers can automate the most common development steps from scene preparation to simulation and learning with Omniverse libraries, Isaac frameworks, and physical AI open datasets. Specialized skills like Isaac Mobility extend that even further. Learn more ➡️

NVIDIA Robotics

101,112 görüntüleme • 5 ay önce

Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision
0:35

Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

Niantic Spatial 🌎

54,260 görüntüleme • 3 ay önce

Meet SceneSmith: An agentic system that generates entire simulation-ready environments from a single text prompt. VLM agents collaborate to build scenes with dozens of objects per room, articulated furniture, and full physics properties. We believe environment generation is no longer the bottleneck for scalable robot training and evaluation in simulation. Website: 👇🧵(1/8)
1:03

Meet SceneSmith: An agentic system that generates entire simulation-ready environments from a single text prompt. VLM agents collaborate to build scenes with dozens of objects per room, articulated furniture, and full physics properties. We believe environment generation is no longer the bottleneck for scalable robot training and evaluation in simulation. Website: 👇🧵(1/8)

Nicholas Pfaff

92,004 görüntüleme • 9 ay önce

Researchers are using Marble to generate simulation-ready robotics environments (scenes + collider meshes) then bring them into NVIDIA Robotics Isaac Sim for training + evaluation without any manual environment setup. Case Study:
0:23

Researchers are using Marble to generate simulation-ready robotics environments (scenes + collider meshes) then bring them into NVIDIA Robotics Isaac Sim for training + evaluation without any manual environment setup. Case Study:

World Labs

29,857 görüntüleme • 10 ay önce

🧵What if you could build, simulate, and collaborate on any 3D world—digitally and physically—to power the future of industry and robotics? Aaron Luk, Director of Product Management for Simulation Tech at NVIDIA, explains how #OpenUSD is making this possible. 🌟
1:48

🧵What if you could build, simulate, and collaborate on any 3D world—digitally and physically—to power the future of industry and robotics? Aaron Luk, Director of Product Management for Simulation Tech at NVIDIA, explains how #OpenUSD is making this possible. 🌟

NVIDIA AI

16,570 görüntüleme • 1 yıl önce

NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯 A 472GB collection covering everyday objects, tools and industrial equipment. It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments. - Train robots to pick up and move objects - Build virtual factories and warehouses - Generate labelled training images - Populate 3D scenes with ready-made objects Useful for robotics research, digital twins and anyone building detailed virtual environments. Download the collection below 👇
0:33

NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯 A 472GB collection covering everyday objects, tools and industrial equipment. It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments. - Train robots to pick up and move objects - Build virtual factories and warehouses - Generate labelled training images - Populate 3D scenes with ready-made objects Useful for robotics research, digital twins and anyone building detailed virtual environments. Download the collection below 👇

Oliver

711,027 görüntüleme • 16 gün önce

Physics simulation gives robots a place to learn before they enter the physical world. 🤖 Developers can model complex interactions, train and evaluate policies, and validate robot behavior in controlled virtual environments before deployment. Explore physics simulation for robotics 🔗
0:20

Physics simulation gives robots a place to learn before they enter the physical world. 🤖 Developers can model complex interactions, train and evaluate policies, and validate robot behavior in controlled virtual environments before deployment. Explore physics simulation for robotics 🔗

NVIDIA Robotics

30,701 görüntüleme • 1 ay önce

Today, we’re launching a new capability that connects everything we’ve been building directly to the robotics world: free USDZ export. Turn any real-world space into a robot training ground. For FREE. Capture with your smartphone or a 360 cam → get a simulation-ready USDZ (Gaussian splat + aligned mesh) → drop it straight into NVIDIA Isaac Sim. No LiDAR rig. No sales call. 🧵👇
0:23

Today, we’re launching a new capability that connects everything we’ve been building directly to the robotics world: free USDZ export. Turn any real-world space into a robot training ground. For FREE. Capture with your smartphone or a 360 cam → get a simulation-ready USDZ (Gaussian splat + aligned mesh) → drop it straight into NVIDIA Isaac Sim. No LiDAR rig. No sales call. 🧵👇

Over the Reality 🌐

29,535 görüntüleme • 3 ay önce

Introducing Midcentury. We’re building the data and simulation infra for physical AI. Today, we’re coming out of stealth with a $15M Series Seed to scale robotics beyond polished demos. We’re already supporting frontier labs with: → The world’s largest egocentric dataset: 2M+ hours, 50+ environments, 20,000+ tasks → Matrix: a frontier simulation platform scaled with our real-world data to evaluate and post-train policies at scale
1:22

Introducing Midcentury. We’re building the data and simulation infra for physical AI. Today, we’re coming out of stealth with a $15M Series Seed to scale robotics beyond polished demos. We’re already supporting frontier labs with: → The world’s largest egocentric dataset: 2M+ hours, 50+ environments, 20,000+ tasks → Matrix: a frontier simulation platform scaled with our real-world data to evaluate and post-train policies at scale

Midcentury

643,408 görüntüleme • 1 ay önce

One month after launching SR Platform. We started with simple simulation assets and layouts. Today, thanks to continuous improvements, SR Platform generates environments with richer geometry, higher-fidelity surface materials, and significantly more realistic assets, ready for modern robotics simulation. Most importantly, SR Platform is now fully compatible with NVIDIA Robotics Isaac Sim. Built with: • Agentic workflow & tool calling • Dynamic context retrieval • Self-evaluation & iterative refinement • Latest GPT-5.6 model variants
0:32

One month after launching SR Platform. We started with simple simulation assets and layouts. Today, thanks to continuous improvements, SR Platform generates environments with richer geometry, higher-fidelity surface materials, and significantly more realistic assets, ready for modern robotics simulation. Most importantly, SR Platform is now fully compatible with NVIDIA Robotics Isaac Sim. Built with: • Agentic workflow & tool calling • Dynamic context retrieval • Self-evaluation & iterative refinement • Latest GPT-5.6 model variants

Strike Robot

15,277 görüntüleme • 3 ay önce

At #NVIDIAGTC, Jensen announced a major open source collection of physical AI agent skills and tools, available now on GitHub. The new collection helps agents tap into NVIDIA technologies including Omniverse libraries, Cosmos world foundation models, Isaac simulation frameworks, Metropolis, Alpamayo and Jetson, with skills spanning autonomous vehicles, robotics, vision AI, industrial digital twins and healthcare. Read the release ➡️
0:20

At #NVIDIAGTC, Jensen announced a major open source collection of physical AI agent skills and tools, available now on GitHub. The new collection helps agents tap into NVIDIA technologies including Omniverse libraries, Cosmos world foundation models, Isaac simulation frameworks, Metropolis, Alpamayo and Jetson, with skills spanning autonomous vehicles, robotics, vision AI, industrial digital twins and healthcare. Read the release ➡️

NVIDIA Newsroom

65,736 görüntüleme • 5 ay önce