<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Zunzhe Zhang</title><link>https://tuagoale.github.io/projects/</link><atom:link href="https://tuagoale.github.io/projects/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 19 May 2024 00:00:00 +0000</lastBuildDate><image><url>https://tuagoale.github.io/media/icon.svg</url><title>Projects</title><link>https://tuagoale.github.io/projects/</link></image><item><title>QDGS: 3D Scene Reconstruction with High-Dimensional Surface Primitives</title><link>https://tuagoale.github.io/projects/qdgs/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://tuagoale.github.io/projects/qdgs/</guid><description>&lt;p&gt;Extended 2D Gaussian Splatting by replacing planar primitives with high-dimensional curved surface primitives.&lt;/p&gt;
&lt;p&gt;Designed geometric routines for ray-surface intersection, differentiation, and bounding box computation. The approach improved reconstruction error from 0.78 to 0.72 while using fewer primitives, showing better geometric representation efficiency.&lt;/p&gt;</description></item><item><title>CyberDog 2 Dribbling with Deep Reinforcement Learning</title><link>https://tuagoale.github.io/projects/cyberdog-dribbling/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://tuagoale.github.io/projects/cyberdog-dribbling/</guid><description>&lt;p&gt;Trained quadrupedal and bipedal dribbling policies for CyberDog 2 using reinforcement learning.&lt;/p&gt;
&lt;p&gt;Implemented a vision-based goalkeeper module and integrated a complete 2v2 match environment. The system achieved 2nd place out of 16 teams in a university robotics competition.&lt;/p&gt;</description></item><item><title>LLM-Enhanced RPG Game with Context-Aware NPC Agents</title><link>https://tuagoale.github.io/projects/llm-rpg-agents/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://tuagoale.github.io/projects/llm-rpg-agents/</guid><description>&lt;p&gt;Built an LLM-driven RPG prototype using GPT-4o and RPG Maker to enable context-aware NPC dialogue generation.&lt;/p&gt;
&lt;p&gt;Designed prompt templates and game-state interfaces that allowed NPCs to condition responses on player progress, dialogue history, and task context. The project explored adaptive response generation and interactive narrative control.&lt;/p&gt;</description></item></channel></rss>