Embodied Intelligence Observer

Beyond Instance Slots: Semantically Rich World Models for Physical Interaction Planning

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Source: arXiv cs.ROPublish time unverified

arXiv:2608.22294v1 Announce Type: new Abstract: World models for physical interaction are typically trained to predict future observations or latent features; however, a planning-oriented model must answer a fundamentally different question: whether a candidate action produces a task-consistent future while preserving essential relations.Monolithic state representations obscure the underlying entities, while standard instance-level object slots merely identify \emph{what} is present without spec…