Jongann Lee

Jongann Lee

Aerospace Engineering Undergraduate Student

Seoul National University

Biography

Welcome to my webpage!

I’m an aerospace engineer with an inherent love for vehicles like aircraft, cars, and trains. Currently I’m interested mobile robotics, reinforcement learning, safety in control, and in a more general sense, autonomy.

I am currently pursuing an undergraduate degree in aerospace engineering at Seoul National University. There I conducted research on various novel controllers for autonomous aerial vehicles under the guidance of Professor Dongjun Lee. I was also president of the drone club Bulnabi, where I participated in the Korea robot aircraft competition.

Please feel free to reach out!

Interests
  • Mobile Robotics
  • Control Systems Engineering
  • Reinforcement Learning
  • Safety in Control
Education
  • B.E. in Mechanical and Aerospace Engineering, 2025

    Seoul National University

  • Early Graduation (top 10% of class), 2019

    Sejong Science High School

Experience

 
 
 
 
 
Polytechnique Laboratory for Assistive and Rehabilitation technologies (Prof. Abolfazl Mohebbi)
Visiting Researcher
June 2024 – October 2024 Montréal, QC, Canada
  • Designed a novel 2 degrees of freedom ankle joint mechanism using a compliant mechanism to enable inversion and eversion movements as well as dorsiflexion and plantarflexion.
  • Built a prototype using a 3D printer and integrated it with the existing PERL ankle exoskeleton to confirm the mechanism’s performance
 
 
 
 
 
Interactive and Networked Robotics Laboratory(Prof. Dongjun Lee)
Undergraduate Intern
March 2023 – June 2024 Seoul, Republic of Korea
  • Created a geometric tracking controller for the multirotor with collective pitch-tilting capable of tracking a 5‑variable trajectory consisting of position, yaw, and pitch, which was shown to be differentially flat outputs of the vehicle dynamics.
  • Proved the almost global exponential attractiveness of the controlled vehicle dynamics using Lyapunov analysis, and demonstrated the stability using a Matlab numerical simulation.
  • Designed an adaptive quadrotor controller by augmenting the geometric tracking controller for the quadrotor with an adaptive control law based on the geodesic distance of the manifold of physically consistent inertial parameters.
 
 
 
 
 
J.Marple
Research Intern
September 2023 – December 2023 Seoul, Republic of Korea
  • Implemented various LiDAR inertial odometry(LIO) algorithms for quadrotor navigation without GPS.
  • Tested the algorithm’s computational and tracking performance using pre‑recorded LiDAR data.
 
 
 
 
 
Data Design Engineering
Research Assistant
June 2022 – August 2022 Seoul, Republic of Korea
  • Performed research on satellites and their payload, specifically focusing on Earth observation satellites and synthetic aperture radar(SAR).
 
 
 
 
 
Republic of Korea Air Force (military service)
English-Korean Interpreter and Translator
May 2020 – February 2022 Pyeongtaek, Gyeonggi-do, Republic of Korea
  • Worked as an interpreter/translator for the Air Force Operations Command A3, interpreting various operational dialogue between ROK and US air force officers, and translating English USAF documents, doctrines and emails for our ROK members and vice versa.

Projects

PIEJAM(Passive Inversion and Eversion Joint Ankle Mechanism)

PIEJAM(Passive Inversion and Eversion Joint Ankle Mechanism)

PIEJAM is an inversion and eversion ankle joint mechanism that allows the user to perform ankle inversion and eversion while using an ankle exoskeleton.

Reinforcement Learning based Tuner for the Geometric Tracking Attitude Controller

Reinforcement Learning based Tuner for the Geometric Tracking Attitude Controller

A reinforcement learning algorithm designed to tune the attitude controller gains for the geometric tracking controller for the quadrotor.

Adaptive Quadrotor Controller

Adaptive Quadrotor Controller

Created an adaptive quadrotor controller by using the geodesic distance of the manifold of physically consistent inertial parameters. The adaptive law was implemented to the geometric tracking controller to create the adaptive quadrotor controller.

Autonomous Quadrotor System for Payload Delivery

Autonomous Quadrotor System for Payload Delivery

Created an autonomous quadrotor capable of detecting and avoiding obstacles, automatically landing on a designated landing area, detecting a pre‑determined delivery point and delivering a payload to it.

Honors

Kwanjeong Domestic Undergraduate Scholarship
Boeing Korea Scholarship
College of Engineering Scholarship for Academic Excellence
Hanseong Nobel Prodigy Scholarship

Publications

(2024). Geometric Tracking Controller for a Multirotor UAV with Collective Pitch-Tilting. IJCAS.

Contact