M.S. candidate in Mechanical Engineering at Sungkyunkwan University and a researcher at Robotory Lab. I build robot systems that combine proximity sensing, reactive safety control, and learning-based manipulation—and validate them on real hardware.
- Robot-mounted capacitive and ToF proximity sensing
- Self-detection compensation and sensor-signal fusion
- Proximity-aware reactive motion control with RMPflow
- Safe human–robot interaction and learning-based manipulation
| Project | Engineering focus | Evidence |
|---|---|---|
| Proximity-Based Reactive Motion Control | RMPflow, TG-RMP, RB10 obstacle avoidance | Code · Case study |
| Robot-Mounted Proximity Sensing | Capacitive/ToF fusion, calibration, embedded inference | Code · Case study |
| Self-Detection Compensation | Joint-conditioned baseline prediction, real-time residual inference | Code · Case study |
| Camera-to-RMP Obstacle Mapping | RealSense, nvblox ESDF, static/dynamic sphere fusion | Code |
ROS 2 · C++ · Python · PyTorch · TensorFlow · Pinocchio · CasADi · STM32 · Altium Designer
My work spans sensor hardware, embedded acquisition, signal processing, robot control, and system-level experiments. The portfolio links above provide the clearest overview of how those pieces connect.