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Phase-consistent expert allocation in PAMAE boosts task success rates by over 9%, revolutionizing action generation in multi-stage robotic manipulation.
Embedding physical consistency checks and self-reflection into VLA policies boosts robotic manipulation success rates by over 5%.
Achieve state-of-the-art pansharpening of thin-cloud contaminated remote sensing images with a unified model that disentangles frequency components and leverages NIR and PAN bands for robust restoration.
