<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects |</title><link>https://mr-tooth.github.io/projects/</link><atom:link href="https://mr-tooth.github.io/projects/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 26 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://mr-tooth.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Projects</title><link>https://mr-tooth.github.io/projects/</link></image><item><title>OpenClaw Guide for Beginners</title><link>https://mr-tooth.github.io/projects/openclaw-guide/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/openclaw-guide/</guid><description>&lt;p&gt;&lt;code&gt;OpenClaw-Guide-for-Beginners&lt;/code&gt; is a hands-on guide for deploying an OpenClaw AI assistant.&lt;/p&gt;
&lt;p&gt;It documents platform deployment, API configuration, and platform integration for users who want a 24-hour online assistant setup.&lt;/p&gt;</description></item><item><title>robot-motion-player</title><link>https://mr-tooth.github.io/projects/robot-motion-player/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/robot-motion-player/</guid><description>&lt;p&gt;&lt;code&gt;robot-motion-player&lt;/code&gt; is an open-source Python tool for visualizing and editing AMP motion datasets in legged locomotion and trajectory optimization workflows.&lt;/p&gt;
&lt;p&gt;It supports research iteration around motion data inspection, editing, and deployment-oriented locomotion tooling.&lt;/p&gt;</description></item><item><title>AStarFootstepPlanner</title><link>https://mr-tooth.github.io/projects/astar-footstep-planner/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/astar-footstep-planner/</guid><description>&lt;p&gt;&lt;code&gt;AStarFootstepPlanner&lt;/code&gt; is an open-source C++ planner for humanoid robot footsteps.&lt;/p&gt;
&lt;p&gt;It searches feasible footstep sequences on complex terrain while respecting kinematic constraints, making it a compact baseline for motion planning experiments and teaching.&lt;/p&gt;</description></item><item><title>Heuclid</title><link>https://mr-tooth.github.io/projects/heuclid/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/heuclid/</guid><description>&lt;p&gt;&lt;code&gt;Heuclid&lt;/code&gt; is a lightweight C++ geometry and vector math library for robotics codebases.&lt;/p&gt;
&lt;p&gt;It provides 2D/3D primitives, convex polygon tools, and spatial query utilities for planning and control projects that need a small, readable geometry layer.&lt;/p&gt;</description></item><item><title>CoppeliaSim Tutorials for Beginners</title><link>https://mr-tooth.github.io/projects/coppeliasim-tutorials/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/coppeliasim-tutorials/</guid><description>&lt;p&gt;&lt;code&gt;Coppeliasim-Tutorials-for-Beginners&lt;/code&gt; provides bilingual tutorials for robotics simulation with CoppeliaSim.&lt;/p&gt;
&lt;p&gt;The repository is intended for beginners who need presentations, code examples, and simulation models in one place.&lt;/p&gt;</description></item><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><item><title>Humanoid Robot for Firefighting Scenarios</title><link>https://mr-tooth.github.io/projects/firefighting-humanoid/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/firefighting-humanoid/</guid><description>&lt;p&gt;This Beijing science and technology project focuses on humanoid robots for firefighting scenarios and mixed unstructured terrain.&lt;/p&gt;
&lt;p&gt;I served as the Ph.D. student lead, coordinating project milestones, personnel allocation, progress checks, and technical reports.&lt;/p&gt;
&lt;p&gt;On the algorithm side, I developed a layered mapping-optimization-reconstruction framework for complex foot-ground interaction. The method uses low-dimensional manifold motion modeling, safety trajectory optimization, efficient trajectory library construction, and fast trajectory reconstruction to support stable omnidirectional locomotion over stairs, slopes, and low obstacles.&lt;/p&gt;
&lt;p&gt;I also handled project documentation and acceptance material, including proposal material, milestone reports, annual reports, science and technology reports, technical summaries, and third-party test plans.&lt;/p&gt;</description></item><item><title>Humanoid Robot Demonstration and Field Delivery</title><link>https://mr-tooth.github.io/projects/industry-demo-delivery/</link><pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/industry-demo-delivery/</guid><description>&lt;p&gt;This industry-facing work was carried out during internships at Beijing BIT Huahui Intelligent Technology Co., Ltd.&lt;/p&gt;
&lt;p&gt;My role focused on motion-control algorithm development, on-site demonstration support, and project delivery. I supported the 2023 World Robot Conference demo filming and live demonstration, then contributed to a field delivery project that included one special humanoid robot platform and a motion-control software package.&lt;/p&gt;
&lt;p&gt;This page is an initial public summary. Confidential project details, customer information, and non-public acceptance material are intentionally omitted.&lt;/p&gt;</description></item><item><title>Wheel-Biped Transformable Humanoid Robot</title><link>https://mr-tooth.github.io/projects/wheel-biped-transformable-humanoid/</link><pubDate>Thu, 01 Sep 2022 00:00:00 +0000</pubDate><guid>https://mr-tooth.github.io/projects/wheel-biped-transformable-humanoid/</guid><description>&lt;p&gt;This project developed a humanoid robot capable of autonomous mobility and dexterous operation, with a wheel-biped transformable subsystem for high-mobility locomotion.&lt;/p&gt;
&lt;p&gt;I built the biped robot system integration and software architecture. The real-time layer used RTOS and EtherCAT communication, with shared-memory multiprocessing and board-level device interface encapsulation for 0.25-1 kHz hybrid force-position control. The non-real-time layer integrated perception, planning, control, manipulation, and multithreading modules.&lt;/p&gt;
&lt;p&gt;I also designed the wheel-foot transformable subsystem, including a minimal active/passive wheel retrofit, motor selection and verification, prototype testing, and electromechanical-control joint debugging.&lt;/p&gt;
&lt;p&gt;For motion control, I proposed a key-phase decomposition guided particle-swarm trajectory optimization method and designed coordinated compliant control for the upper body, ankle, and foot, enabling adaptive mode switching and high-speed wheeled motion on unstructured terrain.&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>