<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>视觉语言模型 | 刘圣鼎</title><link>https://sendinga.github.io/zh/tag/%E8%A7%86%E8%A7%89%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/</link><atom:link href="https://sendinga.github.io/zh/tag/%E8%A7%86%E8%A7%89%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/index.xml" rel="self" type="application/rss+xml"/><description>视觉语言模型</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Wed, 11 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://sendinga.github.io/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>视觉语言模型</title><link>https://sendinga.github.io/zh/tag/%E8%A7%86%E8%A7%89%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B/</link></image><item><title>VULCAN: Vision-Language-Model Enhanced Multi-Agent Cooperative Navigation for Indoor Fire-Disaster Response</title><link>https://sendinga.github.io/zh/publication/vulcan-ein-2026/</link><pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate><guid>https://sendinga.github.io/zh/publication/vulcan-ein-2026/</guid><description>&lt;p>我们的论文 &lt;strong>VULCAN&lt;/strong> 已被 &lt;strong>IEEE INFOCOM 2026 Workshop on Embodied Intelligence Networks（EIN）&lt;/strong> 录用！&lt;/p>
&lt;p>这项工作提出了一种面向室内火灾响应的多智能体协同导航新方法，利用视觉语言模型提升应急响应机器人的态势感知与协作能力。&lt;/p></description></item></channel></rss>