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Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs
Action chunking is a standard execution strategy in modern Vision-Language-Action (VLA) frameworks, but fixed execution horizons impose a trade-off between efficiency and accuracy. Short chunks require frequent inference and may cause oscillatory behavior, whereas long chunks can become misaligned w
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