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Robots can now leverage human intuition for manipulation tasks, learning from a massive video dataset to improve motion plausibility and robustness, even when conditions change.
Forget brute-force hinting: KnowRL distills knowledge into atomic units, then uses subset selection to find the *least* amount of guidance needed to supercharge LLM reasoning.
Achieve state-of-the-art robot manipulation success rates while slashing inference costs by up to 72% with A1, a fully open-source VLA framework that adaptively truncates computation.
