<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bipedal Walking |</title><link>https://mr-tooth.github.io/tags/bipedal-walking/</link><atom:link href="https://mr-tooth.github.io/tags/bipedal-walking/index.xml" rel="self" type="application/rss+xml"/><description>Bipedal Walking</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://mr-tooth.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Bipedal Walking</title><link>https://mr-tooth.github.io/tags/bipedal-walking/</link></image><item><title>Online Terrain-Aware Bipedal Gait Generation via Manifold Projection and Optimization-Guided Motion Libraries</title><link>https://mr-tooth.github.io/publications/terrain-aware-bipedal-gait-generation/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/publications/terrain-aware-bipedal-gait-generation/</guid><description>&lt;p&gt;First-author manuscript under review. Update publication metadata after acceptance.&lt;/p&gt;</description></item><item><title>A Center-of-Mass State Estimation Method for Biped Robot Walking Based on Federated Kalman Filtering</title><link>https://mr-tooth.github.io/publications/biped-com-state-estimation-federated-kalman-filter/</link><pubDate>Tue, 03 Jun 2025 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/publications/biped-com-state-estimation-federated-kalman-filter/</guid><description>&lt;h2 id="patent-record"&gt;Patent record&lt;/h2&gt;
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&lt;td&gt;Chinese title&lt;/td&gt;
&lt;td&gt;基于联邦卡尔曼滤波的双足机器人行走质心状态估计方法&lt;/td&gt;
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&lt;td&gt;Patent number&lt;/td&gt;
&lt;td&gt;ZL 2022 1 0904539.4&lt;/td&gt;
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&lt;td&gt;Application date&lt;/td&gt;
&lt;td&gt;29 July 2022&lt;/td&gt;
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&lt;td&gt;Grant date&lt;/td&gt;
&lt;td&gt;3 June 2025&lt;/td&gt;
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&lt;td&gt;Grant announcement&lt;/td&gt;
&lt;td&gt;CN 115183779 B&lt;/td&gt;
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&lt;td&gt;Certificate number&lt;/td&gt;
&lt;td&gt;7979388&lt;/td&gt;
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&lt;td&gt;Patentee&lt;/td&gt;
&lt;td&gt;Beijing Institute of Technology&lt;/td&gt;
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&lt;p&gt;Official inventors: 黄强、赖俊杭、陈学超、余张国、高峻峣、李庆庆、李超。&lt;/p&gt;</description></item><item><title>Efficient hybrid environment expression for look-and-step behavior of bipedal walking</title><link>https://mr-tooth.github.io/publications/hybrid-environment-expression-look-and-step/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/publications/hybrid-environment-expression-look-and-step/</guid><description>&lt;p&gt;Student third-author paper. Add DOI, PDF, and full author list when available.&lt;/p&gt;</description></item><item><title>An Omnidirectional Center-of-Mass Trajectory Planning Method for Biped Robots Based on Bilevel Model Predictive Control</title><link>https://mr-tooth.github.io/publications/omnidirectional-com-trajectory-planning-bilevel-mpc/</link><pubDate>Tue, 28 May 2024 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/publications/omnidirectional-com-trajectory-planning-bilevel-mpc/</guid><description>&lt;h2 id="patent-record"&gt;Patent record&lt;/h2&gt;
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&lt;td&gt;Chinese title&lt;/td&gt;
&lt;td&gt;基于双层模型预测控制的双足机器人全向行走质心轨迹规划方法&lt;/td&gt;
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&lt;td&gt;Patent number&lt;/td&gt;
&lt;td&gt;ZL 2022 1 1010867.6&lt;/td&gt;
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&lt;td&gt;Application date&lt;/td&gt;
&lt;td&gt;23 August 2022&lt;/td&gt;
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&lt;td&gt;Grant date&lt;/td&gt;
&lt;td&gt;28 May 2024&lt;/td&gt;
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&lt;td&gt;Grant announcement&lt;/td&gt;
&lt;td&gt;CN 115256396 B&lt;/td&gt;
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&lt;td&gt;Certificate number&lt;/td&gt;
&lt;td&gt;7042067&lt;/td&gt;
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&lt;td&gt;Patentee&lt;/td&gt;
&lt;td&gt;Beijing Institute of Technology&lt;/td&gt;
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&lt;p&gt;Official inventors: 黄强、赖俊杭、陈学超、余张国、高峻峣、李庆庆。&lt;/p&gt;</description></item><item><title>A Footstep Planning Method for Biped Robots Based on Variable-Parameter Velocity Mapping and Quadratic Programming</title><link>https://mr-tooth.github.io/publications/a-footstep-planning-method-for-biped-robots-based-on-variable-parameter-velocity-mapping-and-quadratic-programming/</link><pubDate>Tue, 14 Mar 2023 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/publications/a-footstep-planning-method-for-biped-robots-based-on-variable-parameter-velocity-mapping-and-quadratic-programming/</guid><description>&lt;h2 id="patent-record"&gt;Patent record&lt;/h2&gt;
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&lt;td&gt;Chinese title&lt;/td&gt;
&lt;td&gt;基于变参数速度映射和二次规划的双足机器人落脚点规划方法&lt;/td&gt;
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&lt;td&gt;Patent number&lt;/td&gt;
&lt;td&gt;ZL 2022 1 0173869.0&lt;/td&gt;
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&lt;td&gt;Application date&lt;/td&gt;
&lt;td&gt;24 February 2022&lt;/td&gt;
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&lt;td&gt;Grant date&lt;/td&gt;
&lt;td&gt;14 March 2023&lt;/td&gt;
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&lt;td&gt;Grant announcement&lt;/td&gt;
&lt;td&gt;CN 114527663 B&lt;/td&gt;
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&lt;td&gt;Certificate number&lt;/td&gt;
&lt;td&gt;5781760&lt;/td&gt;
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&lt;td&gt;Patentee&lt;/td&gt;
&lt;td&gt;Beijing Institute of Technology&lt;/td&gt;
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&lt;p&gt;Official inventors: 黄强、赖俊杭、陈学超、余张国、李庆庆、石青、黄岩。&lt;/p&gt;</description></item><item><title>Primate-Inspired High-Mobility Robot</title><link>https://mr-tooth.github.io/projects/primate-inspired-mobile-robot/</link><pubDate>Wed, 01 Sep 2021 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/primate-inspired-mobile-robot/</guid><description>&lt;p&gt;This national key R&amp;amp;D project studied primate-inspired high-mobility robot motion, including prone locomotion and omnidirectional walking.&lt;/p&gt;
&lt;p&gt;For biomimetic motion planning, I designed a central-pattern-generator based planning method to coordinate limbs during low-posture crawling, supporting stable crawling and slope climbing. This work led to one authorized invention patent and one EI paper.&lt;/p&gt;
&lt;p&gt;For bipedal walking, I proposed a multi-frequency decoupled planning architecture from command velocity to foot placement and gait generation. The controller combined quadratic-programming based footstep pose planning with model-predictive gait trajectory planning, enabling command-following omnidirectional walking and dynamic obstacle avoidance. This work led to two authorized invention patents.&lt;/p&gt;</description></item></channel></rss>