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English(EN) GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

GroundingPI模型利用视觉原语推进物理智能

研究人员推出GroundingPI,一个拥有40亿参数、专为物理智能任务设计的基础模型。该模型在精确物体定位方面表现出色,能够生成量化坐标点和边界框,这对于实时控制至关重要。GroundingPI在众多物体定位基准测试中取得了最先进的性能,超越了GPT-6 Astra等更大的模型。其有效性在机器人操作和自动驾驶等下游应用中得到了进一步证明,显著提高了性能,尤其是在分布外场景下。 AI

影响 GroundingPI在精确物体定位方面的进步可能加速更强大机器人和自动驾驶系统的开发。

排序理由 详细介绍一种新颖的物理智能基础模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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GroundingPI模型利用视觉原语推进物理智能

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详细介绍一种新颖的物理智能基础模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qize Yu, Lianrui Fan, Boyu Chen, Jiaqi Liang, Xini Ding, Yue Chen, Zetian Song, Yuran Wang, Yi Zou, Kaixuan Wang, Tianxing Chen, Wenxuan Song, Bohan Zhou, Mingleyang Li, Siqiao Huang, Yuqi Ye, Caigao Jiang, Wei Wei, Ruihai Wu, Hang Zhang, Yixiao Ge, Shuc… ·

    GroundingPI:一个迈向物理智能的、具有视觉原语的接地基础模型

    arXiv:2609.39601v1 Announce Type: cross Abstract: Precise grounding matters. It specifies which object is the target and where that object is, even in clutter and for tiny objects, and it has to be fast enough for closed-loop control. Yet vision-language-action (VLA) and world-ac…