About Me
A highly motivated Master's student at SIAT, University of Chinese Academy of Sciences, specializing in Electronic Information. I possess a strong passion for mobile robotics, embedded systems, and autonomous driving, complemented by a proven ability to translate theoretical knowledge into practical, impactful projects. With extensive experience in robotics development and collaborative teamwork, I am eager to tackle challenging problems and contribute to innovative technological advancements.
I am actively seeking overseas PhD positions for Fall 2026 enrollment or later, with a dedicated research focus on the intersection of HCI and HRI. My ambition is to contribute to pioneering research and development in intelligent autonomous systems.
Education
University of Chinese Academy of Sciences (UCAS)
- GPA: 3.77/4.0
- Admitted through Postgraduate Recommendation Program (Tuition-Waiver Scholarship)
South China Agricultural University (SCAU)
- GPA: 4.36/5.0 (Major Rank: 1st)
- Double First-Class University Initiative Institution
Publications
A Real-time Framework for UAV Indoor Self-Positioning and 3D Mapping Base on 2D Lidar, Stereo Camera and IMU
IEEE RCAR 2023
Design and Experiment of Navigation Control System for Translational Row Shifting of Four-Wheel Steering Boom Sprayer
Transactions of the Chinese Society for Agricultural Machinery, 2023
Experience
SONY RDC-SZ Robot Development
- Designing and developing the lower-level system for legged robots, including multi-joint motor and servo control based on STM32F407.
- Responsible for PCB hardware design of driver boards, incorporating communication protocols such as CAN, high-speed RS485, and EtherCAT.
- Engaging in dynamics modeling, reinforcement learning for motion control, and Sim2Real deployment within the Isaac Lab environment for legged robots.
- Implementing safety features including online disconnection-reconnection detection, emergency power-off, and power monitoring systems.
Key Technologies: STM32F407, FreeRTOS, CAN, RS485, EtherCAT, PCB Design, Isaac Lab, Reinforcement Learning, Sim2Real, Legged Robotics
DJI RoboMaster High School Robotics Camp
- Planned and organized multiple STEAM robotics summer/winter camps for over 100 high school students.
- Designed and delivered an embedded systems curriculum focused on an "Indoor Robot Logistics and Transportation" theme.
- Developed ROS driver packages for RoboMaster EP robots and created comprehensive teaching materials and tutorials.
Key Technologies: ROS, Embedded Systems Education, RoboMaster EP, C/C++, Curriculum Design
Media:
Projects
4WD-4WS Autonomous Sprayer Navigation Control System
- Led development of an agricultural sprayer with RTK-GPS & IMU for autonomous row shifting and path tracking.
- Constructed 8-DOF chassis kinematic model and implemented PID trajectory tracking.
- Designed embedded controller and CAN/USB communication system.
- Achieved "Excellent" project completion, 1 software copyright, 1 EI paper.
Key Technologies: RTK-GPS, IMU, PID Control, Kinematic Modeling, CAN Bus, STM32, C/C++
Indoor Autonomous Quadrotor UAV System with RGBD & LiDAR Fusion
- Developed VIO localization using an RGBD camera for robust indoor positioning.
- Implemented precise UAV indoor position control based on VIO data.
- Integrated single-line LiDAR for basic navigation and 3D environmental reconstruction.
- Managed UAV hardware selection, integration, and assembly.
- Deployed and calibrated VINS; compared VIO algorithms (ORB-SLAM2, VINS-Mono).
- Engineered LiDAR point cloud projection and constructed occupancy grid maps.
Key Technologies: ROS, UAV, RGBD Camera, LiDAR, VIO, SLAM (VINS-Mono, ORB-SLAM2), 3D Reconstruction, PX4, C++
Autonomous Infantry Robot Development (RoboMaster Competition)
- Led navigation group for autonomous infantry robot in RoboMaster AI Challenge.
- Implemented full-field localization & navigation using Mecanum wheel odometry, IMU, LiDAR.
- Utilized computer vision for enemy armor detection and autonomous engagement.
- Built ROS-based software architecture, Gazebo simulation, and hardware/software communication.
- Optimized navigation with tf-transform-based "small-gyro" trajectory following and obstacle avoidance.
Key Technologies: ROS, Gazebo, SLAM, Path Planning, Computer Vision, Mecanum Wheels, C++, Python, LiDAR, IMU
National University Smart Car Competition
- **Captain (2021, iFlytek Smart Restaurant):** Led Mecanum wheel robot development; implemented indoor localization & multi-task allocation (QR, target detection) using LiDAR & IMU; built ROS-based multi-task scheduling.
- **Member (2020, Outdoor Opto-Electronic):** Contributed to Ackermann steering car for indoor localization & path planning using LiDAR, IMU, odometry; designed embedded controller.
Key Technologies: ROS, Path Planning, State Machines, Embedded Control, LiDAR, IMU, C/C++
Awards
- IEEE ICRA 2024 RoboMaster University Sim2Real Challenge - Second Prize (June 2024)
- 21st National Collegiate RoboMaster Competition - Super Confrontation - National First Prize (Aug 2022)
- 21st National Collegiate RoboMaster Competition - University League (Automated Infantry) - First Prize (Nov 2022)
- 16th National University Smart Car Competition - iFlytek Smart Restaurant Group - National First Prize (Aug 2021)
- Guangdong Provincial Collegiate Electronic Design Contest - Provincial First Prize (Oct 2020)