<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Potential Fields on Kaijie Xu</title><link>https://nortrom1213.github.io/tags/potential-fields/</link><description>Recent content in Potential Fields on Kaijie Xu</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://nortrom1213.github.io/tags/potential-fields/index.xml" rel="self" type="application/rss+xml"/><item><title>Efficient Multi-Guard Patrol through Extended Composite Potential Fields</title><link>https://nortrom1213.github.io/publications/2026-cog-efficient-multi-guard-patrol/</link><pubDate>Wed, 17 Jun 2026 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2026-cog-efficient-multi-guard-patrol/</guid><description>Three modular CPF extensions improve real-time efficiency, spatial coordination, and area coverage for multi-guard stealth patrols.</description></item><item><title>Generic Guard AI in Stealth Games with Composite Potential Fields</title><link>https://nortrom1213.github.io/publications/2025-11-01-guard-ai/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://nortrom1213.github.io/publications/2025-11-01-guard-ai/</guid><description>A generic, training-free composite-potential-field framework that yields responsive and believable guard AI for stealth games.</description></item></channel></rss>