Hi. Iβm Chan-joon Park, M.S Student in KAIST Robotics
My dream is to share the thrill that engineering brings to my heart and inspire others to feel the same passion. I am currently deeply interested in Robotics, with a particular focus on aerial vehicles and neural planning for UAVs.
π Education
M.S., School of Electrical Engineering, KAIST
Aug 2024 β Current
B.S., School of Mechanical Engineering, Yonsei University
Mar 2018 β Aug 2024
π Publications
  Eungchang Mason Leeβ , Chanjoon Parkβ , Hyun Myung
The 25th International Conference on Control, Automation, and Systems (ICCAS) 2025
β Co-first Author
π¬ Research Experience
Internship Program β Urban Robotics Lab (URL)
Aug 2023 β Aug 2024
- Worked on Model Predictive Contouring Control(MPCC) for UAV.
 
Undergraduate Intern β KIST Center for Healthcare Robotics
Dec 2022 β Feb 2023
- Focused on medical robotics.
 
Special Oral Session (Co-first Author) β 18th Korea Robotics Conference (KRoC 2023)
Feb 2023
Undergraduate Member β AI Racing Team (MLCS Lab)
Dec 2021 β Aug 2023
- Developed path planning and hardward for autonomous racing car.
 
π Honors & Awards π
| Date | Award | Organization | 
|---|---|---|
| Oct 2023 | Aerospace Association Presidentβs Award (2nd Place), 2023 Korea Robot Aircraft Competition | Korea Aerospace Industries Association | 
| Sep 2023 | KIPO Commissioner Award, Student Startup Competition GROW-UP | Yonsei University | 
| Sep 2023 | Grand Prize, College of Engineering Course Achievement Idea Competition | Yonsei University | 
| Aug 2023 | Grand Prize, Makerspace Competition | Yonsei-Korea University | 
| Nov 2022 | Grand Prize, 2022 Autonomous Driving Robot Race | Korea Robotics Society (KRoC) | 
| Aug 2021 | Academic Excellence Award | Yonsei University | 
π€Έ Extracurricular Activities
YonseiDrone β Founding Member, Club Management
May 2021 β Aug 2024
- Founded and led Yonsei Universityβs only drone club.
 - Participated in national competitions, organized SLAM study sessions, and developed custom drones.
 
Yonsei Computer Club (YCC) β Member
Mar 2022 β Feb 2024
ROBOIN β Member
Mar 2021 β Dec 2022
Contents
- π Paper Review
 - π Optimal Control & Planning
 - π Reinforcement Learning
 - π Self Study
 - π etc