VLA-Corrector: Lightweight Corrective Reasoning Boosts Robot Manipulation Robustness
OmniAI-ZJU · hf · 2026-07-06
A Zhejiang University team proposed VLA-Corrector to address the limitations of action chunking in Vision-Language-Action (VLA) models. By introducing a lightweight latent-space visual monitor, it enables adaptive corrective replanning, thereby enhancing robustness for contact-rich manipulation tasks.
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