Kyungmin Lee
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Hello! I am a Ph.D student at KAIST AI, advised by Jaegul Choo.

I am interested in developing humanoid controllers that can be applied in real-world scenarios. My current research focuses on humanoid locomotion and manipulation, with particular emphasis on human-like motion, robust navigation in complex environments, and dexterous use of diverse tools.

If you are interested in similar topics, please feel free to reach out — I am always happy to chat!



Publications

FlashDexRetarget: Accelerating Dexterous Manipulation Data Generation through Multi-Motion Retargeting
Kyungmin Lee*, Sibeen Kim*, Dongyoon Hwang*, Yoonsang Oh*, Donghu Kim, Youngdo Lee, I Made Aswin Nahrendra, Jaegul Choo, Hojoon Lee.
Under review.
Project Page | Paper
PHUMA: Physically Reliable Humanoid Locomotion Dataset
Kyungmin Lee*, Sibeen Kim*, Youngdo Lee, Minho Park, Hyunseung Kim, Dongyoon Hwang, Donghu Kim, Hojoon Lee, Jaegul Choo.
CoRL 2026.
Project Page | arXiv | Code
icml2024atari-pb
ATARI-PB: Investigating Pre-Training Objectives for Generalization in Pixel-Based RL
Donghu Kim*, Hojoon Lee*, Kyungmin Lee*, Dongyoon Hwang, Jaegul Choo.
ICML 2024.
Project Page | arXiv | Code

Teaching

Teaching Assistant, KAIST Graduate School of AI
  • AI604: Deep Learning for Computer Vision, Fall 2025
  • AI502: Deep Learning, Spring 2025
  • AI505: Optimization for AI, Fall 2024

Template based on Hojoon Lee's website.