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LaWAM achieves up to 24x lower latency than traditional pixel-space models while maintaining state-of-the-art performance in robot control tasks.
Forget static datasets – RL-based co-training unlocks +20% real-world VLA performance by interactively leveraging simulation while preserving real-world capabilities.
