World-Calibrated Proposal-to-Action Flow for Vision-Language-Action Models
Flow-based Vision-Language-Action (VLA) policies generate action chunks by transporting samples from a task-agnostic isotropic Gaussian source. As this source is conditioned on neither recent execution nor predicted future evolution, (i) it discards the local continuity established by recently executed motion. (ii) Even when predictive world representations are introduced, they often only condition the transport dynamics rather than determine where generation starts, how far it may deviate, or along which action directions it may expand. Building on this observation, we introduce ProAct, a world-calibrated proposal-to-action framework that makes the generative source itself predictable. (...
| Authors | Jie He, Wei Li, Junwen Tong et al. |
|---|---|
| Primary category | cs.RO |
| Published | 1 October 2026 |
| Last updated at source | 1 October 2026 |
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