简历
Education
- BEng. of Automation in Changsha, Hunan University, 2023.6
- M.Phil. in Robotics and Autonomous Systems, Hong Kong University of Science and Technology (Guangzhou), 2023.9-present
Experience
- Dec.2024-Jun.2025: Research Intern
- WeRide - Multi-sensor Calibration Algorithm
- Duties: Multi-modal sensor calibration algorithm design and optimization without calibration objects and initial mechanical parameters
- Focus: LiDAR-Camera extrinsic parameter validation, operational health check and online calibration
- Nov.2020-Aug.2022: Group Leader & Vice Captain
- RoboMaster Team, Hunan University
- Duties: Computer vision algorithm development, embedded system framework design
- Supervisor: Chen Wenrui
- Sep.2022-Feb.2023: Captain
- RoboMaster Team, Hunan University
- Duties: Team management, overall system architecture design, algorithm optimization
- Oct.2021-Jun.2023: Research Intern
- AI Lab, School of Robotics, Hunan University
- Duties: SLAM algorithm research, multi-sensor fusion
- Supervisor: Li Qingpeng
Research Interests & Technical Expertise
Control Engineering
- Time-domain and frequency-domain linear system analysis, system identification, nonlinear system analysis
- Controller/observer design: lead-lag compensators, feedforward PID, LQR/MPC, Kalman filters, disturbance observers, Smith predictors
Motion Planning
- Path planning (global) and trajectory planning (local) algorithms: Hybrid A/Kino-RRT/x-PRM/MPC
- Convex optimization/nonlinear optimization, proficient in optimization libraries such as CasADi
- Traditional trajectory optimization solving and reinforcement learning for legged/wheeled robot locomotion algorithm training
Computer Vision
- Deep learning-based 2D/3D object detection/segmentation/stereo matching, traditional image processing, multi-view geometry, SfM
- Design and deployment of deep neural network models, proficient in PyTorch programming and data preprocessing
- Pose estimation problems (ICP/PnP/Epipolar) and robust optimization (CM/SAC/M-estimation)
Simultaneous Localization and Mapping
- Multi-sensor fusion, understanding state estimation problems from control theory and probabilistic perspectives
- Proficient in using Ceres/GTSAM solvers
- Visual-SLAM/LiDAR-SLAM front-end data matching/association, sliding window optimization, relocalization and loop closure detection/optimization
- Differential manifold and Lie group fundamentals
Robotics Systems
- Full-stack robotics engineer, familiar with complete perception-decision-planning-control technology stack
- Robotics hardware: mechanisms, actuators (primarily motors), control buses and PCB design
Skills
- Programming Languages: C/C++/Python/Shell/Assembly
- Frameworks: PyTorch/OpenCV/ROS/ROS2/GTSAM/Ceres
- Embedded Development: STM32, real-time systems, HAL programming
- Tools: Docker/Git/CMake/CasADi/IsaacLab/MuJoCo
- Languages: IELTS(7), CET-6(587), fluent in English
Publications
See Publications page for detailed academic work.
Awards & Honors
- Hong Kong University of Science and Technology (Guangzhou) PGS Scholarship
- RoboMaster Super Regional Competition: Second Prize
- “Challenge Cup” National College Student Entrepreneurship Plan Competition: Gold (Hunan), Bronze (National)
- Huawei Ascend AI Innovation Competition: Gold Prize (Hunan)
- China Robot Competition: First Prize (Quadruped Robot Category)
