What if sim and reality were one?
This system keeps them in sync… always!
👉 Project & Paper ⬇️
> uses 3D Gaussians and particles to predict and correct object states
> creates a real-time digital twin that stays synced with the real world
> enables rich policy training using object poses, visual forces, and more
> allows instant switching between real-world runs and offline testing
Physically Embodied Gaussian Splatting introduces a new 3D representation that blends geometry, physics, and vision into one real-time loop.
With “Real-Is-Sim,” simulation is always active, during training, evaluation, and deployment:
-> bridging the gap between sim and reality.
This unified system helps robots reason about now and what’s next…
while staying grounded in reality.
A new foundation for policy learning, control, and digital twins.
Project: https://t.co/xuvhdXuoUN
📍Paper: https://t.co/8V4DZcJGl3
Thank you for sharing, @jadachakra 🙏
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Two robot arms collaboratively assembling an engine part
Had Opus 5.5 figure out the planning and coordination
I think this is a promising direction for fully automated robotic systems, even if some steps still require more capable hardware
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