2 papers
cs.RO2026
FailureSpot: Label-Efficient Timestamp-Level Failure Detection for Vision-Language-Action Models
Jie Ma, Zongxi Liu, Yi Zhu
Vision-language-action (VLA) policies have shown strong potential for general-purpose robotic manipulation, but they can still fail unpredictably during long-horizon execution, mak…
cs.CV2026
FailSAE: Towards Interpretable Failure Prediction for Vision-Language Models via Sparse Autoencoders
Jie Ma, Zongxi Liu, Yi Zhu
Vision-language models (VLMs), such as CLIP, have achieved strong performance across multimodal tasks by aligning visual and textual representations in a shared embedding space. As…