# ZJU-OmniAI/vla-corrector

<https://repo.masters-masters.com/en/repos/ZJU-OmniAI/vla-corrector>

[Home](https://repo.masters-masters.com/en) › [ZJU-OmniAI](https://repo.masters-masters.com/en/owners/ZJU-OmniAI) › [vla-corrector](https://repo.masters-masters.com/en/repos/ZJU-OmniAI/vla-corrector)

ZJU-OmniAI/vla-corrector has 106 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2026\] VLA-Corrector: Lightweight Detect-and-Correct Inference…

| Field | Value |
| --- | --- |
| Owner | [ZJU-OmniAI](https://repo.masters-masters.com/en/owners/ZJU-OmniAI) |
| Stars | 106 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | action-chunking, embodied-ai, lerobot, neurips-2026, robot-learning, robot-manipulation, robotics, vision-language-action, vla |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ZJU-OmniAI/vla-corrector](https://github.com/ZJU-OmniAI/vla-corrector) |

## Repository

\[NeurIPS 2026\] VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
