May Espinola, Qifan Zhang, Yu Xiang · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30051 · open-access PDF
边界人工智能模型的最近的进步在视觉理解、推理、规划和工具使用方面表现出显著的能力,增加了使用一般用途人工智能模型进行机器人操纵的可能性,而无需任务特定的培训。然而,它们的操纵能力尚未在标准化机器人基准上系统地评估。
Machine translation (Meta M2M100); the English original follows.
Recent advances in frontier AI models have demonstrated remarkable capabilities in visual understanding, reasoning, planning, and tool use, raising the possibility of using general-purpose AI models for robot manipulation without task-specific training. However, their manipulation capabilities have not been systematically evaluated on standardized robotics benchmarks. In this report, we present a unified closed-loop manipulation framework for evaluating frontier AI models on the LIBERO-10 benchmark. Our framework enables models to control a robot directly through visual observations, robot pro
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