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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... show more

Niantic Spatial 🌎

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54,070 views • 1 month ago •via X (Twitter)

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7 Comments

ResinBody1 month ago

How does the collision mesh handle thin structures like railings or cables? They can look fine in the splat and still be hard to represent as usable geometry.

arpu1 month ago

is it opensource?

worksrecorded.com - AI news, construction1 month ago

For jobsite robots, the collision mesh also needs an operational confidence layer: capture age, occlusion zones, tolerance by object class, and a clear invalidation rule after site changes. Geometry is actionable only when the robot knows where it may be wrong.

Ian Smith1 month ago

👀

Geωrge1 month ago

I love this technology... It's amazing

Pratik Sharda1 month ago

Collision mesh alongside the splat is the practical bit. Sim geometry is only useful if the onboard perception stack sees the same world at runtime, and that's where the gap usually opens: depth from a real camera on an Orin is noisier and slower than the twin implies. We spend most of our PipeGen work at CraftifAI closing exactly that sim-to-device gap.

Alexi Derkatsch1 month ago

interesting

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119,739 views • 1 month ago

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51,041 views • 1 month ago