ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
Most existing vision-language-action (VLA) models for robotic manipulation lack progress awareness, typically relying on hand-crafted heuristics for task termination. This limitation is particularly severe in long-horizon tasks involving cascaded sub-goals. In this work, we investigate the estimation and integration of task progress, proposing a novel model named {\textbf \vla}. Our technical contributions are twofold: (1) \emph{robust progress estimation}: We pre-train a progress estimator on large-scale, unsupervised video-text robotic datasets. This estimator achieves a low prediction residual (0.07 on a scale of $[0, 1]$) in simulation and demonstrates zero-shot generalization to unse...
| Authors | Hongyu Yan, Qiwei Li, Jiaolong Yang et al. |
|---|---|
| Primary category | cs.RO |
| Published | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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