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RynnWorld-Latent: A Cross-Embodiment World Model Conditioned on Universal Latent Actions

The research team proposes RynnWorld-Latent, a cross-embodiment video world model that uses the 3D-grounded latent actions of RynnLAM as a shared conditioning interface, enabling joint pretraining on human interaction videos, robot demonstrations, and simulation data.

Part of the event: RynnWorld-Latent Cross-Embodiment World Model Released

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