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Synthesized egocentric videos can elevate real-robot task success rates by over 10% through enhanced training data.
Forget trajectory-level rollouts: MuSEAgent learns faster and reasons better by distilling past interactions into reusable, state-aware decision experiences.
Achieve significantly more accurate text and formula rendering with a training-free agentic workflow that injects glyph templates into latent spaces and attention maps of text-to-image models.
