<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>机器人 on 庞玉栋个人博客</title><link>https://pangyd.com/tags/%E6%9C%BA%E5%99%A8%E4%BA%BA/</link><description>Recent content in 机器人 on 庞玉栋个人博客</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Fri, 18 Sep 2026 01:53:48 +0800</lastBuildDate><atom:link href="https://pangyd.com/tags/%E6%9C%BA%E5%99%A8%E4%BA%BA/index.xml" rel="self" type="application/rss+xml"/><item><title>StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation</title><link>https://pangyd.com/post/radar-320/</link><pubDate>Fri, 18 Sep 2026 01:53:48 +0800</pubDate><guid>https://pangyd.com/post/radar-320/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>原文&lt;/strong>：&lt;a href="https://arxiv.org/abs/2609.20791v1">StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation&lt;/a>&lt;/p>
&lt;p>&lt;strong>作者&lt;/strong>：Jinbang Huang, Yuanzhao Hu, Zhiyuan Li, Ran Qi, Yixin Xiao, Yangzheng Wu, Tengyue Ba, Zhanguang Zhang, Yingxue Zhang&lt;/p>
&lt;p>&lt;strong>来源&lt;/strong>：arXiv cs.RO（机器人）&lt;/p>
&lt;/blockquote>
&lt;h2 id="正文">正文&lt;/h2>
&lt;p>Computer Science &amp;gt; Robotics&lt;/p>
&lt;p>arXiv:2609.20791v1 (cs)&lt;/p>
&lt;p>[Submitted on 17 Sep 2026]&lt;/p>
&lt;p>Title:StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation&lt;/p>
&lt;p>Authors:Jinbang Huang, Yuanzhao Hu, Zhiyuan Li, Ran Qi, Yixin Xiao, Yangzheng Wu, Tengyue Ba, Zhanguang Zhang, Yingxue Zhang&lt;/p></description></item><item><title>MoWAM: Explicit Future Motion Prediction for Efficient World Action Models</title><link>https://pangyd.com/post/radar-324/</link><pubDate>Fri, 18 Sep 2026 01:07:00 +0800</pubDate><guid>https://pangyd.com/post/radar-324/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>原文&lt;/strong>：&lt;a href="https://arxiv.org/abs/2609.20709v1">MoWAM: Explicit Future Motion Prediction for Efficient World Action Models&lt;/a>&lt;/p>
&lt;p>&lt;strong>作者&lt;/strong>：Jiayu Wang, Bin Zhu, Yue Yu, Jingjing Chen&lt;/p>
&lt;p>&lt;strong>来源&lt;/strong>：arXiv cs.RO（机器人）&lt;/p>
&lt;/blockquote>
&lt;h2 id="正文">正文&lt;/h2>
&lt;p>Computer Science &amp;gt; Robotics&lt;/p>
&lt;p>arXiv:2609.20709v1 (cs)&lt;/p>
&lt;p>[Submitted on 17 Sep 2026]&lt;/p>
&lt;p>Title:MoWAM: Explicit Future Motion Prediction for Efficient World Action Models&lt;/p>
&lt;p>Authors:Jiayu Wang, Bin Zhu, Yue Yu, Jingjing Chen&lt;/p>
&lt;p>View a PDF of the paper titled MoWAM: Explicit Future Motion Prediction for Efficient World Action Models, by Jiayu Wang and 3 other authors&lt;/p></description></item><item><title>Semantic SLAM in Precision Agriculture using Bayesian Inference</title><link>https://pangyd.com/post/radar-333/</link><pubDate>Thu, 17 Sep 2026 23:51:05 +0800</pubDate><guid>https://pangyd.com/post/radar-333/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>原文&lt;/strong>：&lt;a href="https://arxiv.org/abs/2609.20604v1">Semantic SLAM in Precision Agriculture using Bayesian Inference&lt;/a>&lt;/p>
&lt;p>&lt;strong>作者&lt;/strong>：Ruben Beumer, Sander Doodeman, René van de Molengraft, Duarte Antunes&lt;/p>
&lt;p>&lt;strong>来源&lt;/strong>：arXiv cs.RO（机器人）&lt;/p>
&lt;/blockquote>
&lt;h2 id="正文">正文&lt;/h2>
&lt;p>Computer Science &amp;gt; Robotics&lt;/p>
&lt;p>arXiv:2609.20604v1 (cs)&lt;/p>
&lt;p>[Submitted on 17 Sep 2026]&lt;/p>
&lt;p>Title:Semantic SLAM in Precision Agriculture using Bayesian Inference&lt;/p>
&lt;p>Authors:Ruben Beumer, Sander Doodeman, René van de Molengraft, Duarte Antunes&lt;/p>
&lt;p>View a PDF of the paper titled Semantic SLAM in Precision Agriculture using Bayesian Inference, by Ruben Beumer and 2 other authors&lt;/p></description></item><item><title>CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding</title><link>https://pangyd.com/post/radar-124/</link><pubDate>Thu, 17 Sep 2026 23:39:25 +0800</pubDate><guid>https://pangyd.com/post/radar-124/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>原文&lt;/strong>：&lt;a href="https://arxiv.org/abs/2609.20586v1">CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding&lt;/a>&lt;/p>
&lt;p>&lt;strong>作者&lt;/strong>：Zhikun Zhou, Kunyu Peng, Runyi Yang, Junhao Cai, Di Wen, Ruiping Liu, Danda Pani Paudel, Yi Zhou, Luc Van Gool, Kailun Yang&lt;/p>
&lt;p>&lt;strong>来源&lt;/strong>：arXiv cs.CV（计算机视觉）&lt;/p>
&lt;/blockquote>
&lt;h2 id="正文">正文&lt;/h2>
&lt;p>Computer Science &amp;gt; Robotics&lt;/p>
&lt;p>arXiv:2609.20586v1 (cs)&lt;/p>
&lt;p>[Submitted on 17 Sep 2026]&lt;/p>
&lt;p>Title:CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding&lt;/p>
&lt;p>Authors:Zhikun Zhou, Kunyu Peng, Runyi Yang, Junhao Cai, Di Wen, Ruiping Liu, Danda Pani Paudel, Yi Zhou, Luc Van Gool, Kailun Yang&lt;/p></description></item><item><title>RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision</title><link>https://pangyd.com/post/radar-346/</link><pubDate>Thu, 17 Sep 2026 21:04:23 +0800</pubDate><guid>https://pangyd.com/post/radar-346/</guid><description>&lt;blockquote>
&lt;p>&lt;strong>原文&lt;/strong>：&lt;a href="https://arxiv.org/abs/2609.20330v1">RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision&lt;/a>&lt;/p>
&lt;p>&lt;strong>作者&lt;/strong>：Ruiping Liu, Shaofang Quan, Qian Yin, Jingqi Zhang, Junwei Zheng, Yufan Chen, Di Wen, Weijia Fan, Kailun Yang, M. Saquib Sarfraz, Tamim Asfour, Kunyu Peng, Rainer Stiefelhagen&lt;/p>
&lt;p>&lt;strong>来源&lt;/strong>：arXiv cs.RO（机器人）&lt;/p>
&lt;/blockquote>
&lt;h2 id="正文">正文&lt;/h2>
&lt;p>Computer Science &amp;gt; Robotics&lt;/p>
&lt;p>arXiv:2609.20330v1 (cs)&lt;/p>
&lt;p>[Submitted on 17 Sep 2026]&lt;/p>
&lt;p>Title:RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision&lt;/p>
&lt;p>Authors:Ruiping Liu, Shaofang Quan, Qian Yin, Jingqi Zhang, Junwei Zheng, Yufan Chen, Di Wen, Weijia Fan, Kailun Yang, M. Saquib Sarfraz, Tamim Asfour, Kunyu Peng, Rainer Stiefelhagen&lt;/p></description></item><item><title>转载自【Yidu】《如何搭建一个茉莉机器人》</title><link>https://pangyd.com/post/22-yidu/</link><pubDate>Sun, 30 Jul 2017 20:19:39 +0800</pubDate><guid>https://pangyd.com/post/22-yidu/</guid><description>&lt;div>&lt;p>&lt;img src="https://pangyd.com/uploads/2017/07/870b74962f409833.jpeg" alt="1501417331353.jpeg">&lt;br>&lt;/p>&lt;p>源码简介:茉莉QQ机器人采用Smart&amp;nbsp;QQ接口，程序由PHP+MySQL开发，机器人在运行期间可以累积在线天数哦，但是您不能在机器人运行期间用电脑登录QQ，不然会把机器人挤下线，但是手机QQ可以登录，互不干扰。&lt;/p>&lt;br>好了话不多说，我们开始吧&lt;br>&lt;br>首先呢你要有空间，随便找个空间&lt;br>建议用这个空间&lt;a target="_self" href="https://yidc.vu4.pw/ ">https://yidc.vu4.pw/&amp;nbsp;&lt;/a>，注册送一块钱，然后往下滑有个一元主机，用那个就行&lt;br>然后下载茉莉机器人的源码，源码下载地址:&lt;a target="_self" href="https://pan.baidu.com/s/1eS3VlCI">https://pan.baidu.com/s/1eS3VlCI&lt;/a>&lt;br>&lt;br>教程开始:首先在我给你的那个网站开空间，ftp账号密码必须都记住，最好弄一样的，后面方便操作！&lt;br>&lt;br>开好空间以后点击管理，然后有个面板控制，点进去&lt;br>然后上边有个在线文件，把我给你的源码上传&lt;br>&lt;br>上传完成之后解压到web的文件夹，密码不用填&lt;br>&lt;br>那个控制面板有个域名绑定&lt;br>&lt;br>然后点进去域名，按照步骤安装，数据库的账号用户名密码就是刚才的ftp账号密码。&lt;br>&lt;br>之后一个你自己的机器人网站就搭建好&lt;br>&lt;br>&lt;img src="https://pangyd.com/uploads/2017/07/3566cd8e25e67f7b.jpeg" alt="1501417332673.jpeg">&lt;br>&lt;/div></description></item></channel></rss>