Min-Sung Yoon

Ph.D. Candidate

School of Computing, KAIST

CV | Linkedin | GitHub | Google Scholar

I am a Ph.D. student in the Department of Computer Science (CS) at Korea Advanced Institute of Science and Technology (KAIST), where I am advised by Prof. Sung-Eui Yoon. I am currently a member of the Scalable Graphics, Vision, and Robotics (SGVR) Lab and have the privilege of collaborating closely with Prof. Daehyung Park at KAIST.

• Research interest: I am particularly interested in increasing the autonomy of robots in various ways: 🧑‍💻➡🤖➕🧠. My research interest spans the following keywords: Reinforcement learning, Embodied AI, 3D Vision, Deep learning, Robotics, Motion Generation/Planning, Task and Motion Planning, Agile and Robust Control, Navigation, Graphics, etc. While my interests may appear broad, I am continuously drawn to exploring new research domains and connecting disparate fields. I hold a belief that all research fields eventually converge into robotics with the goal of enhancing quality of human-being life.

Contact

minsung.yoon@kaist.ac.kr
Bldg E3-1, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

Ph.D. in Computer Science, KAIST

- Advisor: Sung-Eui Yoon

Mar. 2022 - Current
M.S. in Computer Science, KAIST

- Advisor: Sung-Eui Yoon

Mar. 2020 - Feb. 2022
B.S. in Information & Communication Engineering,
Inha University

Mar. 2015 - Feb. 2019

News

Sep. 2025 I was selected as a Next-Generation Engineering Researcher by the Institute for Promotion of Engineering and Science of Korea (IPESK).
Jun. 2025 A paper was accepted to IROS 2025.
Feb. 2025 We presented tutorial talks at Korea Robotics Society Annual Conference (KRoC) 2025.
Jan. 2025 A paper was accepted to ICRA 2025.
Jul. 2024 A paper was accepted to IROS 2024.
Jun. 2024 We presented tutorial talks at Korea Computer Congress (KCC) 2024.

Publications

International Papers

Efficient Navigation Among Movable Obstacles using a Mobile Manipulator via Hierarchical Policy Learning

Taegeun Yang, Jiwoo Hwang, Jeil Jeong, Minsung Yoon, and Sung-Eui Yoon

- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
Project Page
Metaheuristic Asphalt Crack Sealing Path Planning based on Discrete Grey Wolf Optimizer

Jeremy C.H. Ong, Minsung Yoon, HeeChan Shin, Sung-Eui Yoon, Mohd-Zulhilmi Ismadi, Xin Wang

- International Journal of Hydromechatronics 2025
Project Page
Enhancing Navigation Efficiency of Quadruped Robots via Leveraging Personal Transportation Platforms

Minsung Yoon and Sung-Eui Yoon

- IEEE International Conference on Robotics and Automation (ICRA) 2025
Project Page
Learning-based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms

Minsung Yoon, Heechan Shin, Jeil Jeong, and Sung-Eui Yoon

- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024

- Agile Robotics Workshop at ICRA 2024
Project Page
Analysis of Terrain-Aware Optimal Path Planning Methods for Stable Off-Road Navigation

Minsung Yoon, Taegeun Yang, Chanmi Lee, Hyunsik Son, and Sung-Eui Yoon

- Off-Road Autonomy Workshop at IEEE Intelligent Vehicles Symposium (IV) 2024
Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators

Minsung Yoon, Mincheul Kang, Daehyung Park, and Sung-Eui Yoon

- IEEE International Conference on Robotics and Automation (ICRA) 2023

- Outstanding Planning Paper Award (15 awards out of 1,341 papers)

- [KAIST Research News], [KAIST CS Dept. Research News], [KAIST Alumni News]

Project Page
Towards Safe Remote Manipulation: User Command Adjustment based on Risk Prediction for Dynamic Obstacles

Mincheul Kang, Minsung Yoon, and Sung-Eui Yoon

- IEEE International Conference on Robotics and Automation (ICRA) 2023

Project Page
Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning

Hyeongyeol Ryu, Minsung Yoon, Daehyung Park, and Sung-Eui Yoon

- IEEE International Conference on Robotics and Automation (ICRA) 2022

- Outstanding Navigation Paper Finalist Award (39 awards out of 1,498 papers)

- [Research Highlights on the 2023 KAIST Annual R&D Report], [Research Highlights at KAIST CS Dept.]

Project Page
Fast and Robust Trajectory Generation for Cartesian Path-following Problems of Redundant Manipulators

Minsung Yoon, Mincheul Kang, Daehyung Park, and Sung-Eui Yoon

- Machine Learning for Human-Robot Interaction (HRI) Workshop
at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 2022
Deep Neural Network-based Fast Motion Planning Framework for Quadrupedal Robot

Jinhyeok Jang, Heechan Shin, Minsung Yoon, Seungwoo Hong, Hae-Won Park, and Sung-Eui Yoon

- Machine Learning for Motion Planning (MLMP) Workshop at ICRA 2021

- [Workshop Video]

Domestic (Korean) Papers

Robust Robot Navigation against External Disturbance using Deep Reinforcement Learning

Hyeongyeol Ryu, Minsung Yoon, Daehyung Park, and Sung-Eui Yoon

- Korea Robotics Society Annual Conference (KRoC), 2021

Project Page
Bias tree expansion using reinforcement learning for efficient motion planning

Minsung Yoon, Daehyung Park, and Sung-Eui Yoon

- Korea Robotics Society Annual Conference (KRoC), 2021

Project Page

Education, Awards & Honors

Ph.D. in Computer Science, KAIST

Total GPA: 4.1/4.3 (undergoing)
Next-Generation Engineering Researcher, Institute for Promotion of Engineering and Science of Korea (IPESK) 2025
Outstanding Planning Paper Award, ICRA 2023
Outstanding Navigation Paper Finalist Award, ICRA 2022

M.S. in Computer Science, KAIST

Total GPA: 4.0/4.3 (credits: 34)

Undergraduate in Information & Communication Engineering (ICE), Inha

Major GPA: 4.48/4.5 (credits: 74), Total GPA: 4.34/4.5 (credits: 130)
Best Design Award for Comprehensive Information and Communication Design (graduation project, 1st place), ICE, 2018

Title: Platooning with Autonomous Driving | Team members: Minsung Yoon, 박준영, and 최재영 | Advised by Prof. 김덕경