Minjae Kim

I'm currently working as a research intern at the ROBIN Lab.

I believe generalist robots are the ultimate goal of robotics research. Since continuous real-world interaction is costly and risky, my research focuses on leveraging limited, static datasets to learn broad capabilities. I am particularly interested in Offline Reinforcement Learning (Offline RL) as a key approach to achieve this vision.

Email  /  Github

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Research Interests

I'm interested in robot learning, offline RL, and dexterous manipulation.

Publications and preprints

Papers sorted by recency. Representative papers are highlighted.

OHOB
Solving the One-Hole One-Ball Patience Cube Task using Model-based Reinforcement Learning
Minjae Kim, Han Ul Yoon
International Symposium on Advanced Intelligent Systems (ISIS), 2025 (Best Paper Award)

Projects


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