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Robot-synthesized data (abbreviated Ego
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Reversible action cycles enable self-verification in long-horizon planning, cutting state returning drift by 44% and boosting accuracy nearly 4x.
By leveraging unmixing-informed spectral prompts, USP-Mamba achieves superior hyperspectral image reconstruction while maintaining spatial continuity and contextual integrity.
Joint pretraining on Ego2Robot-synthesized data boosts robot generalization, achieving unprecedented scale and diversity in training datasets.
