<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2 | Yi Hu</title><link>https://yihu551.github.io/publication-type/2.html</link><atom:link href="https://yihu551.github.io/publication-type/2/index.xml" rel="self" type="application/rss+xml"/><description>2</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 18 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://yihu551.github.io/media/icon_y_hu6062576646913215646.png</url><title>2</title><link>https://yihu551.github.io/publication-type/2.html</link></image><item><title>Learning from imperfect demonstrations in a surgical training task</title><link>https://yihu551.github.io/publications/2026_learning_from_imperfect_demonstrations.html</link><pubDate>Fri, 18 Jul 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2026_learning_from_imperfect_demonstrations.html</guid><description/></item><item><title>Pretraining Using Comparable Human Activities of Daily Living Dataset in Robotic Surgical Task Learning</title><link>https://yihu551.github.io/publications/2025_pretraining_using_comparable_human_activities.html</link><pubDate>Wed, 16 Jul 2025 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2025_pretraining_using_comparable_human_activities.html</guid><description/></item><item><title>Label-Free Adaptive Gaussian Sample Consensus Framework for Learning From Perfect and Imperfect Demonstrations</title><link>https://yihu551.github.io/publications/2024_label-free_adaptive_gaussian_sample_consensus-copy.html</link><pubDate>Wed, 03 Jul 2024 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2024_label-free_adaptive_gaussian_sample_consensus-copy.html</guid><description/></item><item><title>Data‐driven generalized predictive control for car‐like mobile robots using interval type‐2 T‐S fuzzy neural network</title><link>https://yihu551.github.io/publications/2022_data_driven.html</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2022_data_driven.html</guid><description/></item><item><title>Observer-based dynamic surface control for flexible-joint manipulator system with input saturation and unknown disturbance using type-2 fuzzy neural network</title><link>https://yihu551.github.io/publications/2021_observer-based_dynamic_surface.html</link><pubDate>Fri, 14 May 2021 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2021_observer-based_dynamic_surface.html</guid><description/></item><item><title>Adaptive backstepping control for flexible-joint manipulator using interval type-2 fuzzy neural network approximator</title><link>https://yihu551.github.io/publications/2019_adaptive_backstepping_control_for_flexible-joint.html</link><pubDate>Mon, 30 Mar 2020 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2019_adaptive_backstepping_control_for_flexible-joint.html</guid><description/></item><item><title>Double closed-loop general type-2 fuzzy sliding model control for trajectory tracking of wheeled mobile robots</title><link>https://yihu551.github.io/publications/2019_double_closed-loop_general.html</link><pubDate>Tue, 01 Oct 2019 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2019_double_closed-loop_general.html</guid><description/></item><item><title>Modeling and trajectory tracking control for magnetic wheeled mobile robots based on improved dual-heuristic dynamic programming</title><link>https://yihu551.github.io/publications/2020_modeling_and_trajectory_tracking_control_for_magnetic_wheeled.html</link><pubDate>Wed, 31 Jul 2019 00:00:00 +0000</pubDate><guid>https://yihu551.github.io/publications/2020_modeling_and_trajectory_tracking_control_for_magnetic_wheeled.html</guid><description/></item></channel></rss>