Hello! I'm a Ph.D. student in Computer Science at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Sung-Eui Yoon.
Currently I am a member of Scalable Graphics, Vision, and Robotics (SGVR) Lab.
I am also having the privilege of working closely with Prof. Daehyung Park at KAIST.
β’ Research interest: I am particularly interested in increasing the autonomy of robots in various ways: π§βπ»β‘π€βπ§ .
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.
minsung.[lastname]@kaist.ac.kr
Bldg E3-1, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
B.S. in Information & Communication Engineering,
Inha University
Mar. 2015 - Feb. 2019
Learning-based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024
- Agile Robotics Workshop at ICRA 2024
Analysis of Terrain-Aware Optimal Path Planning Methods for Stable Off-Road Navigation
- Off-Road Autonomy Workshop at IEEE Intelligent Vehicles Symposium (IV) 2024
Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators
- 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]
Towards Safe Remote Manipulation: User Command Adjustment based on Risk Prediction for Dynamic Obstacles
- IEEE International Conference on Robotics and Automation (ICRA) 2023
Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning
- 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.]
Fast and Robust Trajectory Generation for Cartesian Path-following Problems of Redundant Manipulators
- 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
- Machine Learning for Motion Planning (MLMP) Workshop at ICRA 2021
Robust Robot Navigation against External Disturbance using Deep Reinforcement Learning
- Korea Robotics Society Annual Conference (KRoC), 2021
Bias tree expansion using reinforcement learning for efficient motion planning
- Korea Robotics Society Annual Conference (KRoC), 2021