SLAM and autonomous robot navigation
Master’s in Artificial Intelligence · Department of Automation, School of Electrical Engineering, Yanshan University
With experience in robotics competitions and laboratory development, I focus on SLAM, 3D mapping, ROS2 autonomous navigation and intelligent robot perception, supported by embedded development skills in STM32, RTOS, CAN communication and chassis control.
WeChat: tungchiahui QQ: 2225279276
For a four-wheel mecanum AMR, I integrated wheel odometry, an IMU and LiDAR using ROS2 to implement SLAM mapping, AMCL localization and NAV2 path planning.
As team captain and electrical control lead for the national university Robocon competition, I was responsible for the robot control system and development coordination, and contributed to the AGV steering-wheel and mecanum chassis implementations.
Led electrical control development and R&D coordination. Built AGV steering-wheel and Mecanum chassis systems using STM32, FreeRTOS, CAN and PID, with IMU fusion for heading correction and localization.
Fused wheel odometry, IMU and LiDAR in ROS2 for SLAM mapping, AMCL localization and NAV2 planning, with simulation and debugging workflows in Gazebo and RViz2.
Managed the team, technical development and training. Organized over 20 training sessions and wrote more than 10 technical documents to support onboarding and knowledge sharing.
Top 20% academically (18/119) and top 10% in comprehensive assessment (14/119). Coursework included ROS1 mapping and navigation, microcontroller control, robot motion control, PLC, C programming, and electrical and electronic engineering.
Research interests: SLAM, 3D mapping, autonomous robot navigation and intelligent perception.
SLAM · 3D Mapping · ROS2 · NAV2 · AMCL · MoveIt2 · YOLO · OpenCV · LiDAR · STM32 · FreeRTOS · CAN · PID · C/C++ · Linux
National competition awards: 12 awards · Technical and management training: 20+ sessions