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Achieving high-dimensional action synthesis in robotics with a single inference step could redefine efficiency benchmarks in real-time manipulation tasks.
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.
