About
I am an undergraduate researcher at the Robotics Innovatory, Sungkyunkwan University, working on robot learning for physical manipulation under distribution shift: imitation learning and diffusion policies, vision-language manipulation, and safe, recovery-aware robot learning. Most of my evaluation is carried out on a real RB10 manipulator.
Education
- Exp. Feb. 2027
- B.S. in Mechanical Engineering, Sungkyunkwan University.
- Exp. Aug. 2027
- Double Major in Physics, Sungkyunkwan University.
- Academic record
- Cumulative GPA: 3.78 / 4.5 (92.8 / 100), as of Aug. 2026.
Research experience
- Fall 2024 – present
- Undergraduate Researcher, Robotics Innovatory, Sungkyunkwan University. Advisor: Prof. Hyouk Ryeol Choi.
- 2026 – present
- Recovery-Aware LPB for RMP-Induced OOD States — manuscript in preparation.
- 2025
- Force-Feedback Teleoperation for Real-Robot Imitation Learning — Learning Lead, industry-academia team project.
- Spring 2025
- Grounded Language-to-Motion Planning with Memory and Gripper Constraints — Undergraduate Research Program.
- Winter 2024 – 25
- Zero-Shot Language-to-Motion Planning with Geometric Validation — Undergraduate Research Program.
Awards
- 2025
- Grand Prize, Creative Innovation DNA-HERO Industry-Academia Team Project, Sungkyunkwan University stage; selected as university representative.
- 2025
- Silver Award, Consortium Creative Capstone Design Competition, National Preliminary Round.
Technical skills
- Languages, frameworks
- Python; PyTorch; ROS and ROS 2; Robomimic.
- Robot learning
- Diffusion Policy; BC-Transformer; RNN-GMM; VLM-based manipulation; Lang-SAM; LMTG.
- Control, simulation
- RMP / RMPflow; RB10 ServoJ and Jacobian control; MuJoCo; robosuite; PyBullet.
- Hardware, sensing
- Rainbow Robotics RB10; Intel RealSense RGB-D; OnRobot and Dynamixel grippers; proximity and force/torque sensors.