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English(EN) ActiveLang: Active Open-Vocabulary 3D Mapping with Semantic-Uncertainty-Guided Exploration

新系统ActiveLang使机器人能够构建带语言注释的3D地图

研究人员开发了ActiveLang,一个专为自主3D建图设计的新颖系统,集成了语言理解和引导式探索。该系统通过实时适应语言特征,使机器人能够在不熟悉的环境中构建详细的3D地图,实现开放词汇场景理解和交互。在Replica和ScanNet++等基准数据集上的实验表明,ActiveLang显著提高了2D和3D分割精度,并且比现有方法更高效。 AI

影响 能够实现更高效、更多功能的未知环境机器人导航和交互。

排序理由 这是一篇描述新系统及其实验结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

新系统ActiveLang使机器人能够构建带语言注释的3D地图

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这是一篇描述新系统及其实验结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Liyan Chen, Hairong Yin, Huangying Zhan, Yi Xu, Raymond A. Yeh, Philippos Mordohai ·

    ActiveLang:基于语义不确定性引导探索的主动开放词汇三维建图

    arXiv:2610.09518v1 Announce Type: new Abstract: As robots increasingly assist humans with diverse tasks, they need both geometric and semantic understanding of their surroundings. Moreover, robots often operate in unfamiliar environments and take on new tasks without knowing the …