CV
Contact Information
| Name | Yuzhen Song |
| 12312836@mail.sustech.edu.cn | |
| Phone | +86 18186518423 |
| Website | https://amysong-robotics.github.io |
Education
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2023 - present Shenzhen, China
Southern University of Science and Technology
Robotics Engineering
- Overall GPA: 3.85/4.0 , Weighted Avg: 92.63/100
- Core Courses: Robot Modeling and Control (97), Mechanics of Materials M (100), Machine Learning (93), Control Engineering (90), ROS (100)
- Leadership: President of Robotics Club & Student Organizations Council (SOC)
Projects
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Slope Center-of-Mass (CoM) Assistance System
Undergraduate Researcher Advisor: Prof. Chenglong Fu - Designed a human-in-the-loop testbed with a compound pulley system delivering dynamic traction (up to 200 N) with <5% force control error.
- Developed STM32 closed-loop control and performed biomechanical modeling to analyze gait parameters across multi-slope datasets.
- Achieved 20–30% reduction in metabolic cost; manuscript in preparation for IEEE RA-L.
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Autonomous UAV Mission Navigation
Undergraduate Researcher Advisor: Prof. Boyu Zhou - Deployed Fast-Planner on ROS to generate kinodynamically feasible trajectories in randomized obstacle environments.
- Engineered a custom sequential waypoint navigation pipeline in RViz and tuned stability margins for robust flight performance.
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Simulation Infrastructure for RL-based Dexterous Manipulation
Undergraduate Researcher Advisor: Prof. Zhao Tang - Led the development of high-fidelity simulation environments in NVIDIA Isaac Sim and Webots for multi-fingered robotic palms.
- Refined URDF models and resolved kinematic constraints, enabling RL policies to achieve underactuated concave-to-convex state transitions.
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ROS2-Based Mobile Manipulator with Multimodal HRI
Project Leader Advisor: Prof. Wende Ke - Architected a differential drive base with a 4-DOF manipulator; integrated ROS2 Nav2 and LiDAR-based SLAM.
- Engineered an Image-Based Visual Servoing (IBVS) pipeline with EKF sensor fusion, achieving ±5 mm alignment accuracy.
- Implemented multimodal HRI using MediaPipe for gesture recognition and Vosk API for offline voice commands.
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CV-Guided 6-DOF Robotic Sketching System
Project Leader Advisor: Prof. Chenglong Fu - Engineered a custom compliant end-effector with a spring-buffered linear guide for adaptive pressure regulation.
- Solved 6-DOF inverse kinematics (IK) via D-H parameters for precise 2D robotic drawing on planar surfaces via MATLAB/Simulink.
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Autonomous Intelligent Rescue Vehicle
Project Leader Advisors: Prof. Dong Lu, Yuanjian Huang - Programmed STM32 (C/C++) for autonomous retrieval: aligning prioritized colored targets to the visual center and managing PWM-servo grasping.
- Deployed custom YOLOv11 for robust real-time recognition; Led team to win the National Second Prize and Provincial First Prize.
Awards
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2025 National Second Prize, Engineering Practice & Innovation Ability Competition
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2025 Provincial First Prize, Engineering Practice & Innovation Ability Competition
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2025 First-Class Scholarship for Outstanding Students (Top 3%)
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2025 Provincial Second Prize, Mechanical Innovational Competition
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2024, 2025 Outstanding Student Award
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2024 Second-Class Scholarship (Top 8%)
Skills
Programming Languages: C/C++, Python, MATLAB
Mechanical Design & Manufacturing: AutoCAD, SolidWorks, Edgecam, Abaqus
Integrated Development Environments (IDEs): Visual Studio, VScode, Keil5, Arduino
Simulation & Visualization: Gazebo, Webots, NVIDIA Isaac Sim, Rviz2