<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sim-to-Real |</title><link>https://mr-tooth.github.io/tags/sim-to-real/</link><atom:link href="https://mr-tooth.github.io/tags/sim-to-real/index.xml" rel="self" type="application/rss+xml"/><description>Sim-to-Real</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://mr-tooth.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Sim-to-Real</title><link>https://mr-tooth.github.io/tags/sim-to-real/</link></image><item><title>Multimodal Locomotion and Operation for Biomimetic Legged Robots</title><link>https://mr-tooth.github.io/projects/multimodal-legged-robot/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/multimodal-legged-robot/</guid><description>&lt;p&gt;This project studies heterogeneous reconfiguration and multimodal locomotion for biomimetic legged robots.&lt;/p&gt;
&lt;p&gt;My work focuses on multimodal control algorithm development. I expanded the command space for multimodal motion, designed implicit state estimation with a variational autoencoder, trained reinforcement-learning policies for multimodal locomotion, and supported sim-to-real deployment.&lt;/p&gt;
&lt;p&gt;The current capability targets complex-terrain walking, fall recovery, quadruped crawling, vehicle riding and separation, and other mode transitions on legged robot platforms.&lt;/p&gt;</description></item></channel></rss>