<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lab on WANG Zhaofeng · Course Portfolio</title><link>https://zzefone.github.io/myblog/tags/lab/</link><description>Recent content in Lab on WANG Zhaofeng · Course Portfolio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 16 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://zzefone.github.io/myblog/tags/lab/index.xml" rel="self" type="application/rss+xml"/><item><title>HCI Lab 1b: Unity Setup with an Existing Project</title><link>https://zzefone.github.io/myblog/posts/hci-lab-1-unity-setup/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://zzefone.github.io/myblog/posts/hci-lab-1-unity-setup/</guid><description>&lt;p&gt;Unity was already working for my Computer Graphics project, Corebound. For this lab, I am documenting that existing environment and its recorded results instead of creating another empty project. The screenshots below come from the Windows player run on 11 October 2026.&lt;/p&gt;&#10;&lt;p&gt;The separate &lt;a href="https://zzefone.github.io/myblog/posts/hci-lab-1-ml-agents/" &gt;ML-Agents lab&lt;/a&gt; adds trained reaching and chasing policies. This page remains the basic Unity setup record.&lt;/p&gt;&#10;&lt;h2 id="environment-and-project-structure"&gt;&#10; Environment and project structure&#10; &lt;a class="heading-link" href="#environment-and-project-structure"&gt;&#10; &lt;i class="fa-solid fa-link" aria-hidden="true" title="Link to heading"&gt;&lt;/i&gt;&#10; &lt;span class="sr-only"&gt;Link to heading&lt;/span&gt;&#10; &lt;/a&gt;&#10;&lt;/h2&gt;&#10;&lt;p&gt;Corebound uses Unity 6000.0.23f1, the Built-in Render Pipeline, and a Windows build with the Mono scripting backend. It is a small 3D game: move a sphere, collect eight energy cores, and reach the reactor.&lt;/p&gt;</description></item></channel></rss>