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 #OpenUSDshow more

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.

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

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

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

A meaningful advancement for scalable and realistic robotics simulation

This is massive Measured physics text to SimReady huge for robotics

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

This is how robot training finally gets real world physics

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

A major step forward for realistic AI robotics simulation