English(EN) Dalian University of Technology's VA-Bench: Top Multimodal Models Finish Only Half of Robot Tasks

新的VA-Bench揭示多模态AI在机械臂任务上表现不佳

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 07:14

大连理工大学开发的新基准VA-Bench，用于评估多模态AI模型在机械臂任务上的表现。表现最佳的模型Qwen3.8-max仅完成了略多于一半的任务，凸显了AI在复杂、长时序操作方面的当前局限性。 AI

影响凸显了多模态AI在复杂机器人任务中的当前局限性，指明了未来发展的方向。

排序理由该集群描述了一个新的基准测试及其评估AI模型的结果，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-10-05 07:14

大连理工大学VA-Bench：顶级多模态模型仅完成一半机器人任务

VA-Bench from Dalian University of Technology tests 12 multimodal model setups on robot-arm tasks; Qwen3.8-max leads at 53.93%, and none finishes a strict long-horizon task.