Signal #79843POSITIVE

Show HN: Physics-accurate 3D assets for robotics simulations from any input

75

In the past 4 years, we developed a platform generating 3D visuals and deploying AR Try-on experiences into large footwear and retail companies. We focused on high-fidelity meshes and textures since the point was giving shoppers a realistic visual.Then robotics companies started to approach us and they asked for thousands of 3D assets that they can use in creating different simulation environments. This is crucial for them so they can achieve better sim-to-real transfer with domain randomization (train a humanoid in a million different kitchens so a real one is not a surprise when it is deployed in the real world).However, we realized nice geometry and pretty textures are not enough for sim engines as they lack physics properties.So we developed a new pipeline creating SimReady assets in OpenUSD and MJCF that plug directly into Isaac Sim and MuJoCo.- Mass: volume from the mesh, density from material classification by a vision-language model (approach adapted from NeRF2Physics), multipl...

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Show HN: Physics-accurate 3D assets for robotics simulations from any input — Steek | Steek