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IndustrialVLA-Bench: A Traceable Multi-Axis Evaluation of Open Robot Policy Models

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

Open robot policies increasingly follow two paradigms: vision-language-action models (VLAs) directly map observations and instructions to actions, whereas world-action models (WAMs) incorporate learned video or world dynamics into policy learning or action generation. Although both target the same manipulation tasks and represent alternative design choices, they are commonly reported under different evaluation protocols, leaving their capability, robustness, language sensitivity, and deployment-cost trade-offs unclear. We present IndustrialVLA-Bench, an evidence-aware evaluation of six release

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Evidence & attribution

First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.