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
My work connects mobile manipulation, robot learning in simulation, and field robot integration. I have built Isaac Lab/RSL-RL training environments for wheeled-legged and mobile-manipulation tasks, and ROS/Autoware-based AMR systems with LiDAR perception and navigation.
- Mobile manipulation and dynamic carrying control
- Robot learning and simulation with Isaac Lab, RSL-RL, PPO, MDP formulation, reward shaping, curriculum design, and policy evaluation
- Stability-aware evaluation for object tilt, grasp stability, base slip, and chassis leveling
- AMR perception and navigation with ROS/Autoware and LiDAR detection/tracking
selected research projects
- KALO: Kangaroo-LocoManipulation: constrained arm motion for early-launch behavior on a Go2W-OpenArm wheeled-legged platform.
- Lift-Equipped Mobile Manipulator: shelf-transfer mobile-manipulation task with Isaac Lab PPO setup and success/failure analysis.
- 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.
- CEBO-Based Stair-Climbing Wheel Design: CoppeliaSim evaluation-loop automation and optimization for T-pedal wheel design.
- On-Campus Autonomous Mobile Robot Systems: ROS/Autoware AMR integration, LiDAR mapping, detection/tracking, waypoint driving, and campus validation.
- LiDAR-Based Campus Autonomous Driving: RTK-surveyed campus HD map, Autoware waypoint driving, and LiDAR pedestrian-detection tests.
technical skills
Robot Learning / Simulation: Isaac Lab, Isaac Sim, RSL-RL, PyTorch, PPO, MDP formulation, reward shaping, curriculum design, policy evaluation
Robot Software / Integration: ROS2, ROS, Autoware, Python, C++, Linux, CAN, Git
Perception / Navigation: LiDAR mapping, object detection/tracking, DBSCAN, Kalman filtering, ROS/Autoware perception integration
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 Outstanding Prize (2nd Place), Future Mobility and Sejong Regional Innovation Idea Contest, 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.