Mechanical Engineering & Software Double Major @ Sungkyunkwan University

Expected Graduation: Feb. 2027

Robotics · Autonomous Driving · SLAM / Perception

• Robotics systems with ROS1/ROS2 and simulation
• Autonomous driving with perception, planning, control, and reinforcement learning
• LiDAR-based SLAM, perception, and real-time edge deployment

Dec 2025 – Jan 2026

• Containerized LSeg with Docker to improve reproducibility and deployment portability
• Connected a Logitech camera to Jetson Orin Nano and optimized inference with TensorRT for real-time semantic segmentation
• Ran benchmark experiments to compare runtime performance across deployment settings

Sep 2025 – Dec 2025

• Built a CLIP-based anomaly detection pipeline for industrial factory environments
• Developed an interactive demo using Streamlit for visualization and inspection

Jun 2025 – Oct 2025

• Applied SLAM in GPS-shadowed / GPS-denied environments
• Used Fast-LIO2 to build the map in advance and then performed localization-only during operation
• Developed LiDAR intensity-based lane recognition
• Modified DWA (Dynamic Window Approach) to avoid both dynamic and static obstacles

Feb 2025 – Oct 2025

• Built a simulation workflow with CARLA + ROS bridge + Gymnasium
• Re-encoded existing ground-truth labels into top-view RGB channels
• Modified the reward function and evaluated Soft Actor-Critic (SAC) under different scenarios
• Prepared simulation scenarios using RoadRunner and Blender

Apr 2025 – Jun 2025

• Implemented lane detection using a sliding-window-based classical computer vision pipeline
• Developed lane-following control based on the detected lane
• Implemented cone-driving and vehicle-avoidance maneuvers for competition scenarios

Dec 2024 – Feb 2025

• Implemented A*-based path generation in Gazebo with ROS1
• Tuned motion control using PID and Kanayama controllers