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English(EN) VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method

新的基准和方法推动仅视觉的远距离导航发展

作者 PulseAugur 编辑部 · [4 个来源] ·

研究人员正在开发仅视觉的远距离导航（VoLN）的新方法，这是一种依赖于局部可观察线索而非明确路线指令的范式。VoLN-UAV 是一个用于空中导航的新基准，包含数千个旨在测试代理在无 GPS 环境中导航能力的试验。现有的方法，如 VoLN-MLLM 和 Fly0，显示出潜力，其中 Fly0 将语义推理与几何规划分离，以改进轨迹控制并降低计算开销。其他系统，如基于 Pangu Multimodal Foundation Model 的 PGN 和具有分层记忆系统的 HiMemVLN，也在探索中，以提高导航性能和可靠性，特别是对于开源模型。 AI

影响 这些在仅视觉导航方面的进展可能使在无 GPS 环境中部署更强大、更自主的机器人系统成为可能。

排序理由 多篇 arXiv 论文发表，介绍了用于视觉-语言导航的新基准和方法。

在 arXiv cs.AI 阅读 →

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新的基准和方法推动仅视觉的远距离导航发展

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多篇 arXiv 论文发表，介绍了用于视觉-语言导航的新基准和方法。
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报道来源 [4]

  1. arXiv cs.AI TIER_1 English(EN) · Jiabin Lou, Haopeng Wang, Yuanshuai Wang, Xinyu Liu, Xuxin Lv, Yuxin Guo, Lei Huang, Rongye Shi, Wenjun Wu ·

    VoLN：纯视觉长视域导航——范式、基准和方法

    arXiv:2607.21400v1 Announce Type: cross Abstract: Vision-and-Language Navigation (VLN) enables embodied agents to follow natural-language instructions. However, route-level instructions commonly encode spatial priors, such as orientation, distance, and layout, that are not explic…

  2. arXiv cs.AI TIER_1 English(EN) · Zhenxing Xu, Yihong Lu, Weidong Bao, Zhengqiu Zhu, Jingxuan Zhou, Zhichuang Wang, Ji Wang, Lihua Liu, Wei He ·

    Fly0：零样本航空视觉语言导航的持久度量锚定

    arXiv:2602.15875v2 Announce Type: replace-cross Abstract: Current Visual-Language Navigation (VLN) methodologies face a trade-off between semantic understanding and control precision. While Multimodal Large Language Models (MLLMs) offer superior reasoning, deploying them as low-l…

  3. arXiv cs.AI TIER_1 English(EN) · Li Xian, Mingxi Li, Yizheng Wang, Yiming Shen, Qi Chen, Zhuoling Xiao ·

    PGN：基于盘古多模态基础模型的视觉语言导航系统的设计与实现

    arXiv:2607.17806v1 Announce Type: new Abstract: Vision-Language Navigation (VLN) requires an embodied agent to interpret a natural-language instruction and predict actions from temporally ordered visual observations. Adapting a multimodal large language model to VLN requires visu…

  4. arXiv cs.CV TIER_1 English(EN) · Kailin Lyu, Kangyi Wu, Pengna Li, Xiuyu Hu, Qingyi Si, Cui Miao, Ning Yang, Zihang Wang, Long Xiao, Lianyu Hu, Jingyuan Sun, Ce Hao ·

    HiMemVLN：通过分层记忆系统增强开源零样本视觉与语言导航的可靠性

    arXiv:2603.14807v2 Announce Type: replace Abstract: LLM-based agents have demonstrated impressive zero-shot performance in vision-language navigation (VLN) tasks. However, most zero-shot methods primarily rely on closed-source LLMs as navigators, which face challenges related to …

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