Hyunyoung Jung

I am a second-year Ph.D. student in Robotics at Georgia Tech, advised by Dr. Sehoon Ha and working closely with Dr. Hae-Won Park. Before my Ph.D., I received my Master's degree in Electrical and Computer Engineering from Georgia Tech and Bachelor's degree in Mechanical Engineering and Computer Science and Engineering at Seoul National University.

Email  /  Google Scholar  /  Twitter  /  Linkedin  /  Github

Research

My research goal is to develop learning-based control algorithms that enable robust, agile and interactive behaviors in human-centered environments. I have worked on combining model-based control and learning based approach for legged locomotion including quadrupeds and humanoids.

Publications and Preprints

We introduce a learning framework for effectively training a humanoid locomotion policy that imitates the behavior of a model-based controller while extending its capabilities to handle more complex locomotion tasks.

We propose a learning framework that can bridge between model-based and learning-based approaches for legged robot control by imitating expert model predictive control (MPC) and fine-tuning the pre-trained policy with reinforcement learning.

We introduce Opt2Skill, an end-to-end pipeline that combines model-based trajectory optimization with RL to achieve robust whole-body loco-manipulation.

We introduce a guided unsupervised reinforcement learning framework that simultaneously learns robot skills and their correspondence to human motions.

Education

Georgia Institute of Technology

Georgia Institute of Technology

Seoul National University

Work and Teaching Experiences

CS 8803 Deep Reinforcment Learning for Intel. Control

CS 3451 Computer Graphics

Saige Research

Samsung Electronics