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SkeleWAM: Skeleton World-Action Modeling for Efficient Robotic Manipulation
World action models (WAMs) combine robot action generation with future state prediction. Existing WAMs typically predict videos or learned visual latents, which represent interaction geometry only implicitly and may retain appearance information unrelated to control. We introduce SkeleWAM, a compact
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