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Relational Geometry Forcing: Improving Robot Manipulation Learning in World Action Models (WAMs) via Relational Geometry Constraints

The paper proposes Relational Geometry Forcing (RGF), which injects geometric priors from a frozen 3D foundation model into World Action Models (WAMs) by aligning pairwise feature relations instead of pointwise feature alignment, avoiding the degradation of action learning caused by dense geometric targets over-constraining compact action features.

Part of the event: Relational Geometry Forcing method proposed to improve world action models

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