<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yim-Ho-Cheung | MAAL</title><link>https://maal.hkust.edu.hk/authors/yim-ho-cheung/</link><atom:link href="https://maal.hkust.edu.hk/authors/yim-ho-cheung/index.xml" rel="self" type="application/rss+xml"/><description>Yim-Ho-Cheung</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 31 Dec 2026 00:00:00 +0000</lastBuildDate><image><url>https://maal.hkust.edu.hk/media/authors/yim-ho-cheung_hu_52017692c0671e5b.jpg</url><title>Yim-Ho-Cheung</title><link>https://maal.hkust.edu.hk/authors/yim-ho-cheung/</link></image><item><title>Sensorless contact forces estimation for robotic manipulators using dual-stage temporal-residual neural network compensation</title><link>https://maal.hkust.edu.hk/publications/sensorless-contact-forces-estimation-for-robotic-manipulators-using-dual-stage-temporal-re/</link><pubDate>Thu, 31 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/sensorless-contact-forces-estimation-for-robotic-manipulators-using-dual-stage-temporal-re/</guid><description>&lt;p&gt;Zhou, Y., Cheung, Y.H., Liu, S., Law, F.C., Shi, Y., Han, L., Duan, M.*, 2026, &amp;ldquo;Sensorless contact forces estimation for robotic manipulators using dual-stage temporal-residual neural network compensation,&amp;rdquo; Control Engineering Practice, 176, 107140.&lt;/p&gt;</description></item><item><title>Computation-Efficient Path Planning Using Evolving Artificial Repulsive Force over Expanding Obstacles for Robotic Manipulator</title><link>https://maal.hkust.edu.hk/publications/computation-efficient-path-planning-using-evolving-artificial-repulsive-force-over-expandi/</link><pubDate>Wed, 30 Dec 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/computation-efficient-path-planning-using-evolving-artificial-repulsive-force-over-expandi/</guid><description>&lt;p&gt;Zhou, Y., Huang, B., Cheung, Y.H., Ye, P., Duan, M.*, 2026, &amp;ldquo;Computation-Efficient Path Planning Using Evolving Artificial Repulsive Force over Expanding Obstacles for Robotic Manipulator,&amp;rdquo; ISA Transactions.&lt;/p&gt;</description></item><item><title>A computation-efficient path planning method for robotic manipulators using evolving artificial repulsive force over expanding obstacles</title><link>https://maal.hkust.edu.hk/publications/a-computation-efficient-path-planning-method-for-robotic-manipulators-using-evolving-artificial-repulsive-force-over-expanding-obstacles/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/a-computation-efficient-path-planning-method-for-robotic-manipulators-using-evolving-artificial-repulsive-force-over-expanding-obstacles/</guid><description>&lt;p&gt;Duan, M., Zhou, Y., and Cheung, Y.H., IP.PA.12873, &amp;ldquo;A computation-efficient path planning method for robotic manipulators using evolving artificial repulsive force over expanding obstacles,&amp;rdquo; US Provisional Application 64/041,762 (filed Apr 2026); CN Application (approved for filing).&lt;/p&gt;</description></item><item><title>Sensorless contact forces estimation method for robotic manipulators using dual-stage temporal-residual neural network compensation</title><link>https://maal.hkust.edu.hk/publications/sensorless-contact-forces-estimation-method-for-robotic-manipulators-using-dual-stage-temporal-residual-neural-network-compensation/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://maal.hkust.edu.hk/publications/sensorless-contact-forces-estimation-method-for-robotic-manipulators-using-dual-stage-temporal-residual-neural-network-compensation/</guid><description>&lt;p&gt;Duan, M., Zhou, Y., and Cheung, Y.H., IP.PA.12872, &amp;ldquo;Sensorless contact forces estimation method for robotic manipulators using dual-stage temporal-residual neural network compensation,&amp;rdquo; US Provisional Application 64/041,767 (filed Apr 2026); CN Application 202611125274.2 (filed Jul 2026).&lt;/p&gt;</description></item></channel></rss>