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Bridge-WA: Learning Action-Relevant World Dynamics for Robotic Manipulation
General-purpose VLA models leverage large-scale vision-language priors to understand scenes and instructions, but primarily generate actions directly from the current observation. WAMs further model future scene states, offering a broader view of how the environment may evolve. However, for robotic
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