I am a student with abundant experience, eager to learn more
My name is Minjun Chang. I am an undergraduate senior in Mechanical Engineering at Yonsei University. I am currently working as a research intern at Dynamic Robotic Systems Lab at Seoul National University.
My research interest is built around using control theory for robots and autonomous driving systems as well as integrating different systems for single controller. Especially, I am interested in building safe and reliable automation in robotic applications in hazardous conditions. I am interested in planning and navigation of legged robots and autonomous vehicles. Also, I want to conduct a study using reinforcement learning and control theory to create natural movemement of robots in real world.
I am looking to pursue graduate studies in the U.S. Take a look around my website for more detailed information about me and I am always open for any kinds of questions.
You can reach out to me with the email address below. Thank You!
[If you’re too busy to look around..] | [📧Mail]
Education
Yonsei University, Seoul, Republic of Korea
2019 - 2025 | BS, Mechanical Engineering
Research Interest
Motion Planning, Robotics, Locomotion, Marine, Autonomous Driving, Reinforcement Learning, Connectivity
Research Experiences
2024.06 - Present |
Dynamic Robotic Systems Laboratory, Seoul National University
Undergraduate Intern, Supervisor : Professor JaeHeung Park
- Reinforcement Learning based bipedal locomotion
- Simultaneous Training of Control Policy and State Estimation with Symmetry Configuration for Bipedal Locomotion
2020.07 - 2021.06 |
Mechanobiology and Soft Materials Laboratory, Yonsei University
Undergraduate Intern, Supervisor : Professor Hyungseok Lee
- Developed Portable Standing Surface Acoustic Wave(SSAW) generator for unconstrained cell alignment
- Proposed new bridged glass hold design for SSAW cell alignment and simultaneous UV reactive angiogenesis
2020.07 - 2021.06 |
BioMedical & Energy System Lab, Yonsei University
Undergraduate Intern, Supervisor : Professor Wonhyung Ryu
- Developed an effective cardiovascular micro-stent design
Summary Image to be displayed…
đź“Ś More details on Research&Projects page!!
Work Experience
2024.04 - 2024.06 |
GoLe Robotics, Seoul
Robotics Engineer(Intern)
2022.10 - 2024.03 |
DRIMAES, Seoul
Junior Embedded Software Engineer
2022.02 - 2022.10 |
ToysMyth, Seoul
Junior Embedded Software Engineer
2021.06 - 2021.07 |
Alsemy, Seoul
AI Lab Member(Intern)
đź“Ś More details on Work page!!
Awards&Honors
National ICT Smart Device Competetion, Grand Prize(1st place) 2024, Ministery of Science and ICT
Grand Prize granted by Minister of Science and ICT
Second Autonomous Robot Racing Competetion, Grand Prize(1st place) 2022, Korea Robot Society
IHEI Show Off Festa2, Best Choice Award 2021, IHEI Yonsei
Hanium Competition, Selection 2021, Federation of Korea Information Industries
MEDICAL HACK 2021, Excellence Prize(2nd place) 2021, Busan City
Yonsei IHEI Workstation, Impact Solution Award 2021, IHEI Yonsei
KU Medical Hackathon, Excellence Prize(2nd place) 2020, Konkuk Univ. Hospital
EDISON Coptuper Aided Design Competition, Top 8 2020, K-MOOC
IHEI Summer Workstation - ACUOUS, Excellence Award(2nd place) 2020, IHEI Yonsei
YonseiXNexon Creative Platform, Excellence Prize(3rd place) 2019, RC committee
Publications, Patents, and SW Copyrights
Publications
1. Hyeongwoo Nam, Seoyeon Choi, Minjun Chang, Joonho Yang, Jaehyeon Lim, Jongeun Choi, “State prediction based control input delay compensation for autonomous driving systems ”, The 18th Korea Robotics Society Annual Conference (KRoC 2023, Feb. 15-18, 2023) *equal contribution
Patents
1. Minjun Chang, Eunhui Cho, Jaemin Jeon, Gyeryeong Park, Yumi Kim, “Automatic-Continuous Urine Output & Urinanalysis System: ACUOUS”, KR 10-2020-0176792 (under prosecution)
2. Wonjun Kim, Hyunjin Park, Minjun Chang, Meedum Cho, Hyunjun Kim, “Autonomous Human Following Manufacture Assistant Robotic Platform”, Korea (on preparation) *equal contribution
Software Copyrights
1. Minjun Chang, Guiju Choi Jungyoon Byun, Dongha Kim, “Eye Tuner: Media Literacy Program based on Pupil Tracking”, KR 10-2020-0176792 (registered)
Skill
Programming Languages: Python, C, C++, MATLAB, Javascript
Frameworks/Tools: ROS1&2, Docker, IsaacGym, PyTorch, FastAPI, MySQL, Solidworks
Hardware: Jetson Xavier, Jetson Nano, RaspberryPi, Arduino, ESP32, STM32, Bolt10, ScoutMini, WeGoERP42
Languages: Korean (Native), English (Fluent, TOEFL 103 / personal best 111)