Preprint
Aug 2026
4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields
4D-WAM is proposed, a model-agnostic training strategy that injects spatiotemporal knowledge from 3D trajectory fields into WAMs through representation alignment, enabling WAMs to learn trajectory-level spatiotemporal representations.
Lishan Yang, Wen-Xuan Song, Xi Wang et al.
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