<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News | Yi Hu</title><link>https://yihu551.github.io/news.html</link><atom:link href="https://yihu551.github.io/news/index.xml" rel="self" type="application/rss+xml"/><description>News</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Thu, 02 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://yihu551.github.io/media/icon_y_hu6062576646913215646.png</url><title>News</title><link>https://yihu551.github.io/news.html</link></image><item><title>Fast Inference Diffusion Policy for Robot Ball Catching Task</title><link>https://yihu551.github.io/news/catchball.html</link><pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/catchball.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Developed a diffusion-based imitation learning framework with probabilistic dynamic movement primitives that distills multi-step denoising into a single-step inference process, enabling fast action generation and validated on a robotic ball-catching task.&lt;/p></description></item><item><title>Finetune Vision-Language-Action Model</title><link>https://yihu551.github.io/news/vla_validation.html</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/vla_validation.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Finetune vision-language-model Pi0.5 on real-world robot dataset. Robot Task: grasp the salt box, grasp the black bag&lt;/p></description></item><item><title>Pi0.5 with Spatial Module</title><link>https://yihu551.github.io/news/vla_libero.html</link><pubDate>Tue, 30 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/vla_libero.html</guid><description>
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&lt;p>Vision-language-action model (Pi0.5) integrated with spatial module, designed with causal attention and mixture-of-expert mechanism. Testing the model in Libero Spatial environment.&lt;/p></description></item><item><title>Transfer Human Daily Skills to Surgical Robot Tasks</title><link>https://yihu551.github.io/news/adlsurg.html</link><pubDate>Sat, 27 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/adlsurg.html</guid><description>
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&lt;p>Instead of using specific surgica task dataset, we utilized human daily dataset in learning robotic surgical tasks.&lt;/p>
&lt;p>Patient Side Manipulator Picking Gauze
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&lt;p>Endoscopic Camera Manipulator Localizing Gauze
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&lt;p>Endoscopic Camera Manipulator Tracking Surgical Tool
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&lt;/video>&lt;/p></description></item><item><title>Autonomous Endoscopic Camera Manipulator Scanning</title><link>https://yihu551.github.io/news/ecmrandmm.html</link><pubDate>Fri, 26 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/ecmrandmm.html</guid><description>
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&lt;p>We proposed a label-free adaptive Gaussian sample consensus framework for imitation learning from a noisy demonstration set.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://www.ece.ualberta.ca/~tbs/pmwiki/pdf/TMRB-Hu-2024.pdf" target="_blank" rel="noopener">Label-Free Adaptive Gaussian Sample Consensus Framework for Learning From Perfect and Imperfect Demonstrations&lt;/a>&lt;/p></description></item><item><title>Learning Pseudo Surgical Skill Training Task</title><link>https://yihu551.github.io/news/ringrailtask.html</link><pubDate>Thu, 25 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/ringrailtask.html</guid><description>
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&lt;p>Ring-and-rail task is an experimental platform for training and testing the surgical skill that manipulating the ring get through the wire without any touches. We utilize autunomous ring-and-rail tasks using a noisy demonstration set.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://www.sciencedirect.com/science/article/pii/S174680942500998X" target="_blank" rel="noopener">Learning from imperfect demonstrations in a surgical training task&lt;/a>&lt;/p></description></item><item><title>Autonomous Ultrasound Scanning</title><link>https://yihu551.github.io/news/ustask.html</link><pubDate>Wed, 24 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/ustask.html</guid><description>
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&lt;p>Autonomous ultrasound scanning for breast seroma using imitation learning&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://www.ece.ualberta.ca/~tbs/pmwiki/pdf/Hu-IROS-2023.pdf" target="_blank" rel="noopener">Autonomous ultrasound scanning towards standard plane using interval interaction probabilistic movement primitives&lt;/a>&lt;/p></description></item><item><title>Remote Ultrasound Scanning</title><link>https://yihu551.github.io/news/usarm.html</link><pubDate>Mon, 22 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/usarm.html</guid><description>
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&lt;p>Remote ultrasound scanning by hand pose detection&lt;/p></description></item><item><title>MediaPipe Hand Tracking</title><link>https://yihu551.github.io/news/handpose.html</link><pubDate>Sat, 20 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/handpose.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Implemented a MediaPipe-based real-time hand tracking system to enable future fine-grained robotic hand and finger control.&lt;/p></description></item><item><title>Event-based Monocular SLAM</title><link>https://yihu551.github.io/news/slam.html</link><pubDate>Thu, 18 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/slam.html</guid><description>
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&lt;p>Developed an event-based monocular SLAM pipeline by transforming asynchronous event streams into optimizable time-surface representations, enabling 6-DoF pose tracking, inverse-depth mapping, and back-end optimization.&lt;/p></description></item><item><title>Teleoperation via Meta Quest3</title><link>https://yihu551.github.io/news/metaquest_teleo.html</link><pubDate>Wed, 17 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/metaquest_teleo.html</guid><description>
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&lt;p>Collecting dataset using meta quest 3 teleoperation for Franka robot, which can be used in training foundation model and imitation learning framework.&lt;/p></description></item><item><title>Vehicle Wheel Robot Navigation Simulation in Unity</title><link>https://yihu551.github.io/news/car_unity.html</link><pubDate>Tue, 16 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/car_unity.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Implemented a Unity-based navigation simulation for a wheeled mobile robot, featuring an onboard camera for visual perception navigation.&lt;/p></description></item><item><title>Dynamics and Kinematics Modeling</title><link>https://yihu551.github.io/news/modelling.html</link><pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/modelling.html</guid><description>
&lt;figure id="figure-control-framework-for-input-saturation-and-unknown-external-disturbance">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Control framework for input saturation and unknown external disturbance" srcset="
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src="../news/modelling/image1_hu14371131613490829060.webp"
width="760"
height="644"
loading="lazy" data-zoomable />&lt;/div>
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Control framework for input saturation and unknown external disturbance
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&lt;p>We built the dynamics and kinematics modeling for wheeled mobile robot.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://ieeexplore.ieee.org/abstract/document/9050868" target="_blank" rel="noopener">Modeling and Trajectory Tracking Control for Magnetic Wheeled Mobile Robots Based on Improved Dual-Heuristic Dynamic Programming&lt;/a>&lt;/p></description></item><item><title>Actuator Saturation and Unknown Nonlinear Disturbance</title><link>https://yihu551.github.io/news/ndob.html</link><pubDate>Fri, 12 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/ndob.html</guid><description>&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;figure id="figure-control-framework-for-input-saturation-and-unknown-external-disturbance">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Control framework for input saturation and unknown external disturbance" srcset="
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src="../news/ndob/image1_hu1177415499055688789.webp"
width="760"
height="595"
loading="lazy" data-zoomable />&lt;/div>
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Control framework for input saturation and unknown external disturbance
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&lt;p>We address the actuator saturation and unknown nonlinear disturbance in flexible-joint manipulator.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://www.sciencedirect.com/science/article/pii/S0925231220320397" target="_blank" rel="noopener">Observer-based dynamic surface control for flexible-joint manipulator system with input saturation and unknown disturbance using type-2 fuzzy neural network&lt;/a>&lt;/p></description></item><item><title>Data-driven Generalized Predictive Control</title><link>https://yihu551.github.io/news/datadriven.html</link><pubDate>Fri, 12 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/datadriven.html</guid><description>
&lt;figure id="figure-data-driven-generalized-predictive-control-workflow">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Data-driven generalized predictive control workflow" srcset="
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Data-driven generalized predictive control workflow
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>We design a Data-driven generalized predictive control for car-like mobile robots.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://onlinelibrary.wiley.com/doi/am-pdf/10.1002/asjc.2531" target="_blank" rel="noopener">Data-driven generalized predictive control for car-like mobile robots using interval type-2 T-S fuzzy neural network&lt;/a>&lt;/p></description></item><item><title>Double Closed-Loop General Type-2 Fuzzy Sliding Model Control</title><link>https://yihu551.github.io/news/doubleclosedloop.html</link><pubDate>Thu, 11 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/doubleclosedloop.html</guid><description>
&lt;figure id="figure-structure-diagram-of-double-closed-loop-control">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Structure diagram of double closed-loop control" srcset="
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Structure diagram of double closed-loop control
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>We design a double closed-loop general Type-2 fuzzy sliding model control for wheeled mobile robots.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://link.springer.com/article/10.1007/s40815-019-00685-z" target="_blank" rel="noopener">Double Closed-Loop General Type-2 Fuzzy Sliding Model Control for Trajectory Tracking of Wheeled Mobile Robots&lt;/a>&lt;/p></description></item><item><title>Mismatched Uncertainties in Dynamic Model</title><link>https://yihu551.github.io/news/fuzzycontrol.html</link><pubDate>Wed, 10 Sep 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/fuzzycontrol.html</guid><description>
&lt;figure id="figure-fuzzy-neural-network-approximator">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="Fuzzy neural network approximator" srcset="
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src="../news/fuzzycontrol/image1_hu10245264789597362618.webp"
width="760"
height="538"
loading="lazy" data-zoomable />&lt;/div>
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Fuzzy neural network approximator
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>We design an adaptive type-2 fuzzy neural network approximator for mismatched uncertainties in joint manipulator.&lt;/p>
&lt;p>Please find the detail from &lt;a href="https://link.springer.com/article/10.1007/s11071-019-05073-8" target="_blank" rel="noopener">Adaptive backstepping control for flexible-joint manipulator using interval type-2 fuzzy neural network approximator&lt;/a>&lt;/p></description></item><item><title>Admittance control</title><link>https://yihu551.github.io/news/admittance.html</link><pubDate>Thu, 28 Aug 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/admittance.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>We utilize admittance controller for human-robot compliance interaction, especially for collecting breast seroma ultrasound scanning dataset.&lt;/p></description></item><item><title>Teleoperation via Meta Quest3</title><link>https://yihu551.github.io/news/metaquest.html</link><pubDate>Tue, 26 Aug 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/metaquest.html</guid><description>
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&lt;p>Collecting dataset using meta quest 3 teleoperation for Franka robot, which can be used in training foundation model and imitation learning framework.&lt;/p></description></item><item><title>Joystick Teleoperation</title><link>https://yihu551.github.io/news/joystick_tele.html</link><pubDate>Sun, 24 Aug 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/joystick_tele.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Collecting dataset using joystick teleoperation for Franka robot, which can be used in training foundation model and imitation learning framework.&lt;/p></description></item><item><title>Kinesthic Operation</title><link>https://yihu551.github.io/news/kinethetic.html</link><pubDate>Fri, 22 Aug 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/kinethetic.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Collecting dataset using admittance control for Franka robot, which can be used in training foundation model and imitation learning framework.&lt;/p></description></item><item><title>Hand Tracking Teleoperation</title><link>https://yihu551.github.io/news/handrobot.html</link><pubDate>Thu, 21 Aug 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/news/handrobot.html</guid><description>
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&lt;!-- Research associate on the MicroSep project since September 2025. -->
&lt;p>Collecting dataset using hand tracking teleoperation for Franka robot, which can be used in training foundation model and imitation learning framework.&lt;/p></description></item></channel></rss>