About

I am a Master’s student in Mechanical Engineering at Sungkyunkwan University, specializing in Robotics. My research interests lie in Imitation Learning and Robotics Control, with a current focus on dual-arm robot learning and control using imitation-based methods. Previously, I interned at Doosan Robotics in the Robot Control Team, gaining hands-on experience in industrial robot systems. I primarily work with Python, ROS/ROS2, and MATLAB for robotics development.

    My past projects include:
  • 1. Development of a visual servoing package.
  • 2. Design an autonomous mobile robot and Compare the algorithms.
  • 3. Pharmaceutical preparation and delivery system using a manipulator and AMR.
  • 4. Design of a passive wearable upper-limb assistive suit.
  • 5. Autonomous drone navigation.

  • Skills: Python, MATLAB, ROS, ROS2
  • Libraries: NumPy, Pandas, OpenCV, Pytorch, matplotlib
  • Simulation Tools: IsaacSim & IsaacLab, Gazebo
  • Using Robot: Universal Robots, Doosan Robotics, Raninbow Robotics
  • Tools & Technologies: Git, SOLIDWORKS
  • Interests: Robotics, Imitation Learning, Reinfocement Learning, Computer Vision
  • Military Service: ROK Army - Sergeant (May 2021 ~ Nov 2022)

Experience

Robot Control Team Intern
July 2024 - Oct 2024 | Sungnam, Korea

Projects

project_visual_servoing
Create Visual Servoing Package

Enable Visual Servoing based on ROS2

Accomplishments
  • Tools: Python, ROS2, SDF, Gazebo
  • Generate sim using SDF
  • Execute visual servoing on sim
  • Also execute visual servoing on real-world
  • All nodes are built by Python
DuPA
Autonomous Medication Preparation Assistant

Designed a robot system to assist with drug prep and autonomous delivery.

Accomplishments
  • Tools: Python, C++, ROS1, Streamlit, Arduino, MATLAB
  • Verified patient information and retrieved prescribed medication list.
  • Used a manipulator to prepare the corresponding medications.
  • Loaded prepared medications onto an autonomous mobile robot
  • Delivered medications directly to the patient’s location.
Autonomous mobile robot
Autonomous mobile robot

Designed an self-made autonomous mobile robot.

Accomplishments
  • Tools: Python ,C++, ROS1, LIDAR, Arduino, Rasberry Pi
  • Built an self-made autonomous mobile robot using Raspberry Pi, Arduino Mega, encoder motors, and a 2D LIDAR.
  • Implemented the ROS Navigation Stack
  • Integrated two SLAM algorithms (GMapping, Hector) and two local planners (TEB, DWA).
  • Compared four combinations in terms of navigation performance and stability.

Rewards

Capstone Design Contest: 2nd Prize

Seoul, Republic of Korea

Awarded by: Chung-Ang University LINC 3.0
Date: 2024.06

    Project:

    • Analysis of optimal sensors and algorithm-specific navigation features for autonomous mobile robots

Youth AI Robotics Program(KG-KAIROS): 2nd Prize

Seoul, Republic of Korea

Awarded by: KG ICT
Date: 2024.06

    Project:

    • Pharmaceutical preparation and autonomous delivery using Cobot and AMR

Skills

Skills

Python
MATLAB
ROS
ROS2

Libraries

NumPy
Pandas
OpenCV
Pytorch
matplotlib

Simulation Tools

IsaacSim & IsaacLab
Gazebo

Manipulator

Universal Robots
Doosan Robotics
Rainbow Robotics

Other

Git
Solid Works

Education

Sungkyunkwan University

Suwon, Republic of Korea

Degree: MS - Mechanical Engineering

    Relevant Courseworks:

    • Intelligent Robotics
    • Robot Reinfocement Learning

Chungang University

Seoul, Republic of Korea

Degree: BS - Mechanical Engineering
GPA: 3.84/4.5 (CUM LAUDE)

    Relevant Courseworks:

    • Robotics Engineering
    • Autonomous Control
    • Mechatronics
    • Visual Prograamming

Contact