Aiden, Wonjong Lee

Technology Stack : C++, Docker

I had the opportunity to deeply explore Multi-Agent Path Finding as part of the AIRLAB team, which was composed of two members: an undergraduate student (myself) and a master's student. Participating in an Amazon-sponsored competition, it was enriching to compete against various scholars and professors. Working tirelessly through the night to meet tight deadlines, coding to satisfy the given tasks was truly a valuable experience for me.

Technology Stack : Pytorch, Python, Docker

I participated in a collaborative project with a company, focusing on the operation of flexible cable insertion via deep reinforcement learning. In this project, I contributed by applying robot vision technology to complete the tasks. As an undergraduate, I was fortunate to have the opportunity to handle robots used in actual industry settings and learn about collaboration through interactions with various individuals.

Technology Stack : Pytorch, Python, Docker, ROS2

As part of my design project, I utilized the Turtlebot4 to tackle the task of avoiding transparent fluids. This project allowed for extensive exploration of communication and networking using the robot, enhancing my ability to troubleshoot and control emerging issues. Additionally, I implemented robot vision technologies to execute the task and managed the environment using Docker.

Technology Stack : Pytorch, Python, Docker, ROS

In a project on robotic manipulation for wiping fluids, we developed a system capable of detecting and cleaning transparent fluids like water. My role was primarily in segmenting the images, where we ensured that the manipulator could accurately recognize the fluids. Through collaboration, we resolved challenges quickly, which was a beneficial learning experience as we also got to observe and learn from our colleague's work on the manipulator. This project was not only a significant learning opportunity but also led to our participation in the KRoC (Korea Robotics Society Annual Conference), enhancing our exposure and networking within the academic community.

Technology Stack : Tensorflow, Python

A team of four from the Mechanical Engineering Club at Sogang University participated in the competition. We developed recognition and navigation algorithms for robots, contributing significantly to our team. My studies in mechanical engineering had primarily been theoretical, so seeing the robots in action sparked a real interest in me. Each time we solved a long-standing problem, I found the process incredibly enjoyable and became deeply engaged. This experience inspired me to embark on a career in robotics research.