cv
education, skills, honors, teaching, mentoring, and additional research experience
education
Korea University, Department of Mobility Science and Engineering
M.S. Student, Field Robot Lab
Advisor: Prof. Youngeun Song
Expected Feb. 2027
Korea University, Department of Mobility Science and Engineering
B.S., Department of Mobility Science and Engineering
Feb. 2025, graduated with honors
research profile
- Stability-aware robot learning for wheeled-legged locomotion and loco-manipulation
- Mobile manipulation and logistics-oriented AMR autonomy
- Learning-based planning/control, perception, and tracking for autonomous mobile robots
- Simulation-driven robot design optimization and stability-aware evaluation
selected research projects
- KALO: Kangaroo-LocoManipulation: Go2W-OpenArm early-launch assistance with Isaac Lab/RSL-RL evaluation.
- On-Campus Autonomous Mobile Robot Systems: Ranger Mini v2 AMR integration and 1/5-scale autonomous-vehicle experiments with ROS/Autoware, LiDAR, and camera perception.
- LiDAR-Based Campus Autonomous Driving: RTK-surveyed campus HD map, Autoware waypoint driving, and LiDAR pedestrian-avoidance tests.
- Lift-Equipped Mobile Manipulator: 9-D action / 41-D observation Isaac Lab PPO setup for shelf-transfer mobile manipulation.
- CEBO-Based Stair-Climbing Wheel Design: CEBO optimization and CoppeliaSim evaluation-loop automation for T-pedal wheel design.
- KETI 20-DOF Wheeled-Legged AMR: rough-terrain velocity-tracking setup and chassis-leveling objective for a wheeled-legged AMR.
- Inventory-Inspection Robot Adaptive Suspension: suspension-stabilization workflow for full-lift driving of a 10 m-class inventory-inspection robot.
technical skills
Robot Learning / Simulation: Isaac Lab, Isaac Sim, RSL-RL, PyTorch, PPO, reward design
Robot Software / Integration: ROS2, ROS, Autoware, Python, C++, Linux, CAN, Git
Perception / Navigation: LiDAR SLAM, OpenCV, YOLO, DBSCAN, Kalman Filter
Design / Optimization: Bayesian optimization, CoppeliaSim, CAD, Ansys, hardware feasibility testing
honors
- 2025 National Research Foundation of Korea Master’s Student Research Grant, Individual Research Project
- 2024 Outstanding Prize, Future Mobility Research Idea Contest, Team Lead
- 2023 Grand Prize, Korea University Project Semester, Individual
- 2023 Grand Prize, DSC Regional Innovation Platform Future Mobility Startup Hackathon, Team Lead
- 2023 Halla University President’s Award, HL Mando & HL Klemove Autonomous Mobility Competition, Team Lead
- 2022 Gold Prize, International Collegiate Autonomous Driving Competition, VLF Racer Division, Team Lead
- 2019 Bronze Prize, 26th Samsung Humantech Paper Award, High School Division
teaching and mentoring
- Teaching assistant since Sep. 2023 for 9 major/PBL courses, including Robot Design and Driving PBL, Mobile Robot Operating System, and Autonomous Driving Fundamental Technology PBL.
- Organized ROS-based small-vehicle, simulator, LiDAR, and vision practice sessions for junior students.
leadership and international activities
- 2022.09 - 2022.12 Led KUMob, an on-campus autonomous-driving society of about 30 members; organized ROS-based small autonomous-vehicle projects, simulator setup, LiDAR/vision practice, and mentoring workflows.
- 2021.03 - 2025.02 Held department student leadership roles, including vice president, president, and emergency committee leadership.
- 2024.01 - 2024.02 Selected as an outstanding student representative for a UNLV overseas training program; participated in a UNLV autonomous-vehicle project, robotics/vision sessions, an Intel Graphics automotive Q&A, and CES 2024.
- 2024.12 - 2025.01 Selected again for a UNLV overseas training program; completed AI + IoT, communication, and Linux-based automotive electronic-system practice, and attended CES 2025.
additional research and feasibility work
- Autonomous Road-Sweeping Vehicle TDP: ODD, fail-safety/SOTIF, validation-scenario, and TDP documentation.
- Aircraft Towing and GPAU Feasibility: autonomous/remote towing architecture, LiDAR collision-prevention concept, and Isaac Sim feasibility review.
- Residential Delivery-Robot Testbed: residential delivery-robot service scenarios and operation-check notes.