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LIBERO-RECOVER: Beyond Task Success Towards Failure Recovery in Robotic Manipulation Models

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Vision-Language-Action (VLA) or World Action (WAM) models have recently demonstrated remarkable performance in robotic manipulation. On LIBERO, SOTA method have achieved nearly 100\% success rates, seemingly suggesting that the models are ready for deployment in real world. However, near perfect performance on existing benchmarks can be misleading: success under ideal conditions does not imply real world robustness. Existing benchmarks primarily evaluate task completion from predefined initial states, while real world interactions inevitably involve failures such as failed grasps, collisions,

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