Min-Sung Yoon (Mason)

Ph.D. Candidate at KAIST

I am a Ph.D. student in the School of Computing at KAIST, advised by Prof. Sung-Eui Yoon. I am a member of the SGVR Lab and have had the privilege of collaborating with Prof. Daehyung Park.

I am primarily interested in reinforcement learning (RL) for embodied AI and robotics foundational models (RFM). I actively explore new domains that bridge diverse research areas, including computer vision and computer graphics. I believe that, ultimately, many research directions converge toward robotics with the shared goal of enhancing human life.

Min-Sung Yoon

Education

News

Selected Publications

ICRA26-3DAdv Paper

Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots via Feature-wise Linear Modulation

Minsung Yoon*, Jeil Jeong*, Sung-Eui Yoon

IEEE International Conference on Robotics and Automation (ICRA), 2026

IROS25 Paper

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

ICRA25 Paper

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

IROS24 Paper

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

ICRA23 Paper

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

ICRA23 Paper

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

ICRA22 Paper

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

Awards & Honors

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