VLABench

VLABench is a benchmark dataset used to evaluate the performance of Vision-Language-Action models in detecting execution failures during robotic task execution.

Papers using VLABench (7)

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring2026Bridge-WA: Predicting Where and How the World Changes for Robotic Action2026Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation2026DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?2026A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model2026E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion2025From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation2025