AtlasVLA introduces a persistent world-ego state model for Vision-Language-Action systems, achieving state-of-the-art performance in long-horizon robotics tasks with a single wrist camera outperforming multi-view baselines by up to 17.5% in real-world testsSource: arXiv cs.ROhttps://arxiv.org/abs/2608.06729#MachineLearning
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