Hello! I'm a actively growing second-year 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.
- 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, Deep learning, Robotics, Motion generation/planning, Task and Motion planning, Control, Navigation, Graphics, etc.
You may think my interests are broad, but I am always curious about new research fields and have a great interest in connecting different fields.
There is also a belief that all fields are eventually connected as one.
I am currently dedicated to advancing constraint-satisfying motion generation and enhancing the safety of real-world robot deployment.
minsung.[lastname]@kaist.ac.kr
Bldg E3-1, Rm 3446, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
B.S. in Information & Communication Engineering,
Inha University
Mar. 2015 - Feb. 2019
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)
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)
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