FailureSpot: Label-Efficient Timestamp-Level Failure Detection for Vision-Language-Action Models

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On September 7, 2026, the arXiv cs.CV platform released a new method called FailureSpot. This method aims to provide label-efficient fault detection capabilities for visual-language-action models, with its core innovation being the implementation of time-level fault recognition.

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FailureSpot

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A arXiv cs.CV en 2026-09-07 12:00

针对视觉 - 语言 - 动作（VLA）模型在长程执行中不可预测的失败问题，研究者提出了一种基于标签效率的时间戳级失败检测框架。该方法利用未标记的 VLA 动作片段构建弱监督信号以捕捉异常模式，并通过主动学习筛选不确定性最高的轨迹进行时间戳级标注与微调。实验表明，该框架有效解决了传统方法因训练数据标注不匹配导致的噪声问题，显著提升了时间戳级及轨迹级的失败检测性能。