SOURCE-LINKED INTELLIGENCE
Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models
Modern vision-language-action (VLA) policies predict a whole chunk of actions: one to two seconds of coordinated motion emitted in a single forward pass. Yet an action chunk is essentially a short multivariate trajectory, but inside these models it is a sequence of generic per-timestep hidden tokens decoded by a linear head. This under-serves two motion structures. First, frequency: a chunk superimposes a smooth global trend and fine corrective motion across time scales, and a single token entangles them. Second, cross-phase geometry: motions of different phases (reach, contact, grasp adjustme
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T09:16:49.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.