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Rather than injecting joint or end-effector actions as abstract, low-dimensional tokens, EA-WM projects actions and kinematic states directly into the target camera view as Structured Kinematic-to-Visual Action Fields.","title":"EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields","url":"https://arxiv.org/abs/2605.06192","vendor":"arxiv_cs_ai"},"summary":"arXiv:2605.06192v1 Announce Type: cross \nAbstract: Pretrained video diffusion models provide powerful spatiotemporal generative priors, making them a natural foundation for robotic world models. While recent world-action models jointly optimize future videos and actions, they predominantly treat video generation as an auxiliary representation for policy learning. 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