English(EN) GG-Nav: Goal-oriented Grounding Chain-of-Thought Elicits Reasoning in Navigation Foundation Models

新的GG-Nav框架增强导航AI推理能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了GG-Nav，一个旨在提高导航基础模型推理能力的新框架。该系统通过采用结构化的思维链机制，解决了利用流式观测和精确目标定位的局限性。GG-Nav明确地定位与目标相关的实例，累积地面化证据，并支持更可靠的决策制定，在多个基准测试中表现优于最先进的方法，并在真实机器人上展示了零样本泛化能力。 AI

影响增强导航AI的性能和泛化能力。

排序理由该集群包含一篇详细介绍新AI模型/框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Shaohao Zhu, Wensi Huang, Siqi Zhang, Yuqiang Yang, Meng Wei, Chenyang Wan, Tianle Liu, Tai Wang, Jinming Xu · 2026-10-15 04:00

GG-Nav：面向目标的地面化思维链引发导航基础模型的推理能力

arXiv:2610.14541v1 Announce Type: cross Abstract: Emerging strong Vision-Language Models (VLMs) have advanced navigation foundation models. However, these models still have unsatisfactory performance on goal-oriented navigation settings. In this paper, we first conduct a motivati…

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报道来源 [1]

GG-Nav：面向目标的地面化思维链引发导航基础模型的推理能力

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