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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.

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World Labs

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46,199 görüntüleme • 8 ay önce •via X (Twitter)

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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:
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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 • 9 ay 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 • 9 ay önce

What if Real2Sim environments took an afternoon to build? Niantic Spatial turns mobile, 360° camera or drone capture into high-fidelity 3D Gaussian environments for humanoid robotics training—no LiDAR or specialized rigs required. See how we’re closing the Real2Sim gap with NVIDIA Robotics + Flexion. 👇 #Real2Sim #Robotics #PhysicalAI #Simulation #GaussianSplatting #SpatialAI #3DGS
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What if Real2Sim environments took an afternoon to build? Niantic Spatial turns mobile, 360° camera or drone capture into high-fidelity 3D Gaussian environments for humanoid robotics training—no LiDAR or specialized rigs required. See how we’re closing the Real2Sim gap with NVIDIA Robotics + Flexion. 👇 #Real2Sim #Robotics #PhysicalAI #Simulation #GaussianSplatting #SpatialAI #3DGS

Niantic Spatial 🌎

26,362 görüntüleme • 20 gün önce

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 Foundry, our measured-physics pipeline: we measure how real objects behave — contact, friction, dynamics — and turn those measurements into ground-truth simulation parameters. Built on OpenUSD and integrated with NVIDIA Robotics Omniverse Libraries, SimReadyGen moves directly into Isaac Sim and Isaac Lab workflows. Try it today: Read the announcement: #PhysicalAI #Robotics #Simulation #OpenUSD
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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 Foundry, our measured-physics pipeline: we measure how real objects behave — contact, friction, dynamics — and turn those measurements into ground-truth simulation parameters. Built on OpenUSD and integrated with NVIDIA Robotics Omniverse Libraries, SimReadyGen moves directly into Isaac Sim and Isaac Lab workflows. Try it today: Read the announcement: #PhysicalAI #Robotics #Simulation #OpenUSD

Lightwheel

12,221 görüntüleme • 1 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
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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

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Booster Robotics has launched Booster Studio, the first IDE built specifically for embodied AI. > Booster Studio features code editing, high-precision simulation, real-robot debugging, and real-world deployment. > It shortens the path from the first idea to the working hardware, with the build, test, and deployment loop living in a single environment rather than scattered across separate tools. Vibe Robotics 👀
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Booster Robotics has launched Booster Studio, the first IDE built specifically for embodied AI. > Booster Studio features code editing, high-precision simulation, real-robot debugging, and real-world deployment. > It shortens the path from the first idea to the working hardware, with the build, test, and deployment loop living in a single environment rather than scattered across separate tools. Vibe Robotics 👀

🚨 AI News | TestingCatalog

21,276 görüntüleme • 2 ay önce

AI just made a body for themselves🤯 Meet Lucy, (Probably) the 1st AI-generated AI #Robot🤖 1️⃣AI Generated Image 2️⃣AI Generated 3D Model by #Rodin 3️⃣RL-based Learning in Simulation 4️⃣3D Printing 5️⃣Lucy in the real world More AI-generated Robots coming Soon. #Robotics
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AI just made a body for themselves🤯 Meet Lucy, (Probably) the 1st AI-generated AI #Robot🤖 1️⃣AI Generated Image 2️⃣AI Generated 3D Model by #Rodin 3️⃣RL-based Learning in Simulation 4️⃣3D Printing 5️⃣Lucy in the real world More AI-generated Robots coming Soon. #Robotics

Hyper3D by Deemos

45,445 görüntüleme • 11 ay önce

A single image can transform into a massive world composed of millions of splats with Marble. Forming large explorable environments from ancient ruins to spaceship interiors.
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A single image can transform into a massive world composed of millions of splats with Marble. Forming large explorable environments from ancient ruins to spaceship interiors.

World Labs

85,105 görüntüleme • 6 ay önce

As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗
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As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗

NVIDIA Robotics

10,840 görüntüleme • 5 ay önce

World generation is a bottleneck for robotics. We’re exploring how generative 3D worlds can reduce manual simulation setup and enable broader, more realistic evaluation 🧵
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World generation is a bottleneck for robotics. We’re exploring how generative 3D worlds can reduce manual simulation setup and enable broader, more realistic evaluation 🧵

World Labs

149,986 görüntüleme • 7 ay önce

SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation. Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments. 🔗 Read the SAM 3D Objects research paper: 🔗 Read the SAM 3D Body research paper:
1:54

SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation. Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments. 🔗 Read the SAM 3D Objects research paper: 🔗 Read the SAM 3D Body research paper:

AI at Meta

18,031 görüntüleme • 10 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. 🧵👇
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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 🌐

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🚨 A single image → a fully editable UE5 world. Introducing Lumera: a turnkey pipeline that reconstructs an engine-native 3D scene directly from ONE image — not just pixels, point clouds, or Gaussians. It gives you: → object-level 3D meshes → editable 3D layouts → engine-native lights → HDR environment lighting → a scene ready for Unreal Engine 5 In other words: Image → 3D world → UE5. We believe the future of image-to-3D is not “generate something that looks 3D.” It is generate the actual world project. 🌐 📄
3:52

🚨 A single image → a fully editable UE5 world. Introducing Lumera: a turnkey pipeline that reconstructs an engine-native 3D scene directly from ONE image — not just pixels, point clouds, or Gaussians. It gives you: → object-level 3D meshes → editable 3D layouts → engine-native lights → HDR environment lighting → a scene ready for Unreal Engine 5 In other words: Image → 3D world → UE5. We believe the future of image-to-3D is not “generate something that looks 3D.” It is generate the actual world project. 🌐 📄

Hao Zhao

51,795 görüntüleme • 18 gün 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!
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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 • 2 ay önce

Robot simulation is getting a big upgrade! 🔥 Normally, building a simulation environment, a kitchen, warehouse, office takes days or weeks. You have to model the geometry, add textures, set lighting, generate collision meshes… all before a robot can even interact with it. Marble by World Labs removes most of that work. You type a text prompt or give it an image, and it generates a full 3D scene with depth, lighting, and a collider mesh you can export into engines like MuJoCo. That means researchers can quickly create lots of different environments to train robots on, which is exactly what domain randomization needs. If we want robots to learn faster, we need to create worlds faster. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Robot simulation is getting a big upgrade! 🔥 Normally, building a simulation environment, a kitchen, warehouse, office takes days or weeks. You have to model the geometry, add textures, set lighting, generate collision meshes… all before a robot can even interact with it. Marble by World Labs removes most of that work. You type a text prompt or give it an image, and it generates a full 3D scene with depth, lighting, and a collider mesh you can export into engines like MuJoCo. That means researchers can quickly create lots of different environments to train robots on, which is exactly what domain randomization needs. If we want robots to learn faster, we need to create worlds faster. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,498 görüntüleme • 9 ay önce

Today, a step forward in open robotics - our results show that sim-to-real zero shot transfer for manipulation is possible. MolmoBot is our open model suite for robotics, trained entirely in simulation on MolmoSpaces.🧵
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Today, a step forward in open robotics - our results show that sim-to-real zero shot transfer for manipulation is possible. MolmoBot is our open model suite for robotics, trained entirely in simulation on MolmoSpaces.🧵

Ai2

65,374 görüntüleme • 6 ay önce

The industry's first embodied AI IDE, Booster Studio, is officially live at Built exclusively for embodied AI, Booster Studio integrates code editing, high-precision simulation, real-robot debugging, and real-world deployment into a single platform. Experience a true one-stop journey from your first idea to final hardware deployment. With its high-fidelity simulation environment and comprehensive development stack, Booster Studio shatters the barrier between digital and physical, bringing embodied AI to life. #boosterrobotics #embodiedai
1:21

The industry's first embodied AI IDE, Booster Studio, is officially live at Built exclusively for embodied AI, Booster Studio integrates code editing, high-precision simulation, real-robot debugging, and real-world deployment into a single platform. Experience a true one-stop journey from your first idea to final hardware deployment. With its high-fidelity simulation environment and comprehensive development stack, Booster Studio shatters the barrier between digital and physical, bringing embodied AI to life. #boosterrobotics #embodiedai

Booster Robotics

597,241 görüntüleme • 2 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 • 1 ay önce

Image-Blaster is a Claude skill that can create an entire 3D environment from a single image. The special sauce here is that it also extracts key environment elements and converts them into their own separate 3D models. Full YT video:
0:53

Image-Blaster is a Claude skill that can create an entire 3D environment from a single image. The special sauce here is that it also extracts key environment elements and converts them into their own separate 3D models. Full YT video:

Matt Workman

25,206 görüntüleme • 3 ay önce

Simulation is a key enabler for embodied AI. It allows us to massively scale up data collection in order to experience years in minutes. Nvidia's Isaac Lab allows for rapid learning of new skills in just a few days, which directly transfer to the real world.
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Simulation is a key enabler for embodied AI. It allows us to massively scale up data collection in order to experience years in minutes. Nvidia's Isaac Lab allows for rapid learning of new skills in just a few days, which directly transfer to the real world.

RIVR

25,295 görüntüleme • 1 yıl önce