Minseo Kwon
M.S Student, Ewha Womans University, Dept. of Computer Science and Eng.

ABOUT ME
Hi! I’m currently a master’s student in Ewha Womans University, Korea, Department of Computer Science and Engineering. I am a robotics researcher at the Computer Graphics Lab, advised by Dr. Young J. Kim.
I received my B.S. with honors in Computer Science and Engineering and Mathematics (double major) from Ewha Womans University in 2024.

RESEARCH
I develop Task and Motion Planning (TAMP) systems, leveraging foundation models such as LLMs/VLMs to enhance generalization and tackle real-world deployment challenges.

Curriculum Vitae

News
2025
Our paper has been accepted to IEEE ICRA 2025
Jan 27
2024
Our team won 3rd place in Cloth Competition, IEEE ICRA 2024
May 30
2023
ToMato has won 3rd place in Undergrad Research Paper Contest, Autumn Annual Conference of IEIE
Dec 28
Selected Publications (view all )
Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition
Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Minseo Kwon, Yaesol Kim, Young J. Kim

IEEE International Conference on Robotics and Automation (ICRA) 2025

Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Minseo Kwon, Yaesol Kim, Young J. Kim

IEEE International Conference on Robotics and Automation (ICRA) 2025

Neuro-Symbolic Task Replanning using Large Language Models
Neuro-Symbolic Task Replanning using Large Language Models

Minseo Kwon, Young J. Kim

The Journal of Korea Robotics Society (KROS) 2025

Neuro-Symbolic Task Replanning using Large Language Models

Minseo Kwon, Young J. Kim

The Journal of Korea Robotics Society (KROS) 2025

All publications