<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jingke Lyu | Arbeit Gruppe Dexterous Robotics (AGDR)</title><link>https://tusz-agdr.github.io/author/jingke-lyu/</link><atom:link href="https://tusz-agdr.github.io/author/jingke-lyu/index.xml" rel="self" type="application/rss+xml"/><description>Jingke Lyu</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 22 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://tusz-agdr.github.io/media/icon_hu11734318148517933569.png</url><title>Jingke Lyu</title><link>https://tusz-agdr.github.io/author/jingke-lyu/</link></image><item><title>High-Rate Full-Hand Tactile Sensing for Sim-to-Real Recognition and Grasping</title><link>https://tusz-agdr.github.io/publication/wrcsara.2026.highratefullhandtactile/</link><pubDate>Wed, 22 Jul 2026 00:00:00 +0000</pubDate><guid>https://tusz-agdr.github.io/publication/wrcsara.2026.highratefullhandtactile/</guid><description>&lt;div class="alert alert-note">
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Accepted for presentation at the &lt;strong>2026 WRC Symposium on Advanced Robotics and Automation (WRC SARA 2026)&lt;/strong>. The DOI and final proceedings link will be added when they become available.
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&lt;p>This work develops a high-rate, full-hand piezoresistive tactile perception pipeline for sim-to-real object-shape recognition during dexterous grasping. The system combines a 16-DoF four-finger hand, 12 tactile patches with 620 physical taxels, 300 Hz tactile acquisition, taxel-aligned MuJoCo simulation, and force-voltage calibration.&lt;/p></description></item></channel></rss>