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ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning
Vision-Language-Action (VLA) models have shown great promise for robotic manipulation by mapping multi-modal semantics to physical actions. However, this mapping inherently struggles to align these coarse-grained semantics with fine-grained temporal execution. It leaves VLA models with limited gener
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