Minjune Hwang

I am a graduate student in Computer Science at Stanford University, working on robot learning research with Prof. Fei-Fei Li, Prof. Jiajun Wu, and Dr. Ruohan Zhang in the Stanford Vision Lab.

Previously, I completed my undergraduate studies in Computer Science and Statistics from UC Berkeley, where I've done research in computer vision and convex optimization with Prof. Alexandre Bayen and Prof. Laurent El Ghaoui. I have spent time in Prof. David Wagner's group as well, working on adversarial machine learning

I was also fortunate to tackle exciting research problems in Amazon Robotics, Microsoft Research, and Apple, where I developed novel algorithms and practical systems to solve various problems in robotics.

I will be actively applying for PhD positions for fall 2024!

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The goal of my research is to develop systems and learning algorithms for efficient robot manipulation, from various kinds of data including human demonstrations, feedback, and environmental interactions. As of now, I am particularly interested in learning and effectively leveraging skills and representations for robot learning.

Specifically, my research focuses on methods for:

• Learning policies and modeling reward from human demonstrations [1, 2] and feedback [3] for robot manipulation.
• Using symbolic [1] and hierarchical [2, 3] representations to tackle long-horizon robotic tasks.
• Developing frameworks (simulation environments [1] & brain-robot interface [2]) for efficient and robust robot learning.