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English(EN) NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation

新的NavVerse基准测试机器人室内到室外导航技能

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出NavVerse，这是一个新的、支持物理的基准测试，旨在评估机器人在单个连续场景中必须在室内和室外环境之间转换的具身导航能力。现有的基准测试通常分别评估这些环境，并抽象出关键的执行细节，如边界穿越和适应性。NavVerse包含100个室内场景、50个城市室外场景和50个室内到室外场景，总共在物体导航、视觉语言导航和地点导航任务中包含10,000个场景。使用强化学习和视觉语言代理基线的初步实验表明，当前的系统在跨上下文导航方面存在显著困难，尽管模块化方法的成功率较低，但安全性更好。 AI

影响 该基准测试通过解决无缝室内外转换的关键挑战，有望加速更强大、适用于现实世界应用的机器人的开发。

排序理由 该集群描述了在arXiv上发布的一个新的机器人导航基准测试。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的NavVerse基准测试机器人室内到室外导航技能

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该集群描述了在arXiv上发布的一个新的机器人导航基准测试。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    NavVerse：在连续机器人模拟中对室内到室外具身导航进行基准测试

    Robots deployed in delivery, campus, and emergency-response settings often need to navigate from buildings to streets within a single continuous episode. Existing benchmarks usually evaluate indoor and outdoor navigation separately, and many abstract away robot execution, leaving…

  2. arXiv cs.CV TIER_1 English(EN) · Junzhe Wu, Yue Hu, Zeyu Han, Po-Hsun Chang, Yinan Dong, Behrad Rabiei, Maani Ghaffari ·

    NavVerse：在连续机器人模拟中对室内到室外具身导航进行基准测试

    arXiv:2607.19695v1 Announce Type: cross Abstract: Robots deployed in delivery, campus, and emergency-response settings often need to navigate from buildings to streets within a single continuous episode. Existing benchmarks usually evaluate indoor and outdoor navigation separatel…

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