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Action-chunk subsampling makes SmolVLA robots run 8x faster
Subsampling action chunks can dramatically boost a robot policy’s execution speed without changing the core model, making learned control far more practical on real hardware.
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Subsampling action chunks can dramatically boost a robot policy’s execution speed without changing the core model, making learned control far more practical on real hardware.
This shows a simple tweak can dramatically speed up robot control loops, making learned policies more practical for real-world hardware.