Andy Luo

Lifting AMR software engineer, responsible for ROS-based system integration covering navigation, safety, and cross-team interfaces. Primarily using C++ and Python. Currently focused on: * Shelf docking algorithm development -- Detect shelf with 2D LiDAR, enter with PID control, fine-position with QR code — within 5 to 7 mm accuracy * ROS navigation stack development -- Develop custom costmap layers for obstacle detection, tune PID local planner for AMR motion * HFSM-based safety framework design -- Embed into each ROS action server, priority-based state management — recovery behavior, emergency stop, and sensor monitoring * FMS and firmware system integration -- Build middleware layer between FMS and embedded firmware, maintain the AMR ROS stack * Simulation-first workflow -- Validate behavior in Gazebo before running on real vehicle * Blind-spot detection for forklift AMR -- Detect forward blind spots using 3D LiDAR point cloud

Specialized in ToF camera algorithm development and validation, with a focus on camera calibration, point cloud processing, and quality evaluation. Primarily using C++ and Python for implementation and testing, dedicated to improving depth data accuracy and stability Currently focused on: * ToF camera calibration algorithm development and validation * Designing, implementing, and validating depth post-processing algorithms * Volume Measurement * Container loading rate calculation algorithm development * Improved 3D camera depth accuracy and stability -- Enhanced 3D camera depth accuracy through iToF calibration algorithms: reduced narrow FoV error to 0.5%, wide FoV to 5.3% * Developed depth map quality optimization algorithms -- Resolved 3D sensing holes, noise issues and enhanced depth map usability * Developed logistics volume measurement algorithms -- Leveraged 3D sensing technology for automated cardboard box measurement, solving logistics efficiency issues * Automated container loading rate calculation algorithm development -- Utilized point cloud processing to develop container space analysis algorithms, enabling rapid automated space utilization calculation