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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 -... show more

Oliver Prompts

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686,821 Aufrufe • vor 3 Tagen •via X (Twitter)

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Oliver Promptsvor 3 Tagen

link: follow for more useful tools like this.

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chaim chenvor 3 Tagen

For grasping, I'd inspect the collision geometry before choosing an asset. A handle can look hollow in the rendered image but be blocked by a simplified collider. That can turn a sensible grasp into an impossible one in simulation.

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Lorenzo Herreravor 3 Tagen

The time has come for a new version of The Incredible Machine.

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Philipvor 3 Tagen

Physics settings and semantic labels are what make this useful for robot training, since sim assets without mass and friction data don't transfer well to real hardware. A shared library like this saves every team from rebuilding the same warehouse props from scratch.

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