VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Hor
Overview
The paper proposes VLA-Corrector, a framework that enhances the reliability of VLA policies by introducing a Latent-space Vision Monitor (LVM) to detect visual deviations and trigger corrective replanning. This approach allows for adaptive action horizons, improving robustness in contact-rich robotic tasks without retraining the policy backbone.
From arXiv Robotics — research abstracts
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- 2026-10-31T17:17:44.771Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalVLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon
The paper proposes VLA-Corrector, a framework that enhances the reliability of VLA policies by introducing a Latent-space Vision Monitor (LVM) to detect visual deviations and trigger corrective replanning. This approach allows for adaptive action horizons, improving robustness in contact-rich robotic tasks without retraining the policy backbone.
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