<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publication on Clawdite</title><link>/categories/publication/</link><description>Recent content in Publication on Clawdite</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 26 May 2022 00:00:00 +0000</lastBuildDate><atom:link href="/categories/publication/index.xml" rel="self" type="application/rss+xml"/><item><title>Clawdite published in Procedia CIRP</title><link>/blog/2022/05/26/clawdite-published-in-procedia-cirp/</link><pubDate>Thu, 26 May 2022 00:00:00 +0000</pubDate><guid>/blog/2022/05/26/clawdite-published-in-procedia-cirp/</guid><description>&lt;p>In the context of the Industry 4.0 approach, applications and solutions supporting monitoring, simulation, optimisation, and decision-making in production systems are exponentially growing.&lt;/p>
&lt;p>Digital twins are the silver bullet for these solutions, given their capability of providing comprehensive digital representations of production systems, which are continuously updated by leveraging IIoT (Industrial Internet of Things) systems.&lt;/p>
&lt;p>However, digital twins designed for Industry 4.0 applications are limited in representing human operators, which instead are a key component in the emerging Industry 5.0 paradigm.&lt;/p></description></item></channel></rss>