Joonkyu Min

I am an incoming MS student at at Cognitive Learning for Vision and Robotics (CLVR) Lab at KAIST, where I will work on robot learning under supervision of Joseph J. Lim. I am currently an undergraduate student at Seoul National University, majoring in Electrical and Computer Engineering.

Previously, I worked as a research intern at SNU VGI Lab under professor Jaesik Park, where I worked on 3D computer vision, especially 3D gaussian splatting.

Email  /  GitHub  /  LinkedIn  /  CV

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Research Goal

My research goal is to build safe and reliable physical intelligence.

I am generally interested in robot learning and reinforcement learning. Particularly, I am interested in robot safety for reliable real-world robot training and deployment.

One of my long-term goals is to automate scientific laboratories. By enabling robots to assist repetitive and labor-intensive lab tasks, I wish we can accelerate scientific discovery across fields such as biotechnology and life science.

lab_automation
Lab automation (by GPT5)

Publications

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CF3: Compact and Fast 3D Feature Fields


Hyunjoon Lee, Joonkyu Min, Jaesik Park
Int. Conf. on Computer Vision (ICCV), 2025
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Proposed an approach for constructing a compact 3D feature representation from given 3D Gaussian Splatting




Projects

These include coursework, side projects and unpublished research work.

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Can Zero-shot RL enable test time safety?


project Robot Learning
2025-06-01
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Exploring the potential of zero-shot RL method to enable safe decision-making at test time.

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KL-regularized FB representation for offline zero-shot RL


project Undergraduate
2025-05-30
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Applied KL-divergence regularization approach to zero shot RL method (FB representation).

Posts

Reinforcement Learning


Design and source code from Jon Barron's website