Jun-Gill Kang

I'm a researcher at Defense AI Center of the Agency for Defense Development (ADD) in South Korea. I completed my undegraduated studies in POSTECH, South Korea advised by Prof. Soohee Han. I also worked with Prof. Hae-Won Park as visiting researcher in KAIST DRCD Lab.

I've selected as graduate representative and gave Commencement Speeches in POSTECH at 2022. Also my research youtube channel has >13K subscriber with >8M views total.

I've worked and built on wall climbing robot, flying squirrel drone, quadrupedal robot, offraod self-driving car, and autonomous tunnel exploration robot.

Email  /  CV  /  Scholar  /  Youtube

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Research

I'm interested in robotics, control, reinforcement learning, and deep learning. Most of my research start from building robot, fixing it and controlling it. Representative papers are highlighted. (Equal contributions are denoted by *)

A Highly Maneuverable Flying Squirrel Drone with agility-improving Foldable Wings
Dohyeon Lee*, Jun-Gill Kang*, Soohee Han
IEEE Robotics and Automation Letters (RA-L), 2025
project page / video / arxiv

Develop general trajectory tracking controller of flying squirrel with learned wing dynamics.

Fast, Perceptive Quadrupedal Locomotion in Complex Terrain
Jun-Gill Kang, JaeHyun Park, Tae-Gyu Song, Hae-Won Park
IEEE International Conference on Robotics and Automation Workshop (ICRA), 2024
project page / video / paper

Control of full sized quadruped robot with vision pipeline.

A Highly Maneuverable Flying Squirrel Drone with Controllable Foldable Wings
Jun-Gill Kang*, Dohyeon Lee*, Soohee Han
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
project page / video / arxiv

Build and control non-linear dynamics governed flying squirrel inspired quadrotor using reinforcement learning.

Development of Dual-Unit Ceiling Adhesion Robot System With Passive Hinge for Obstacle Traversal Under Kinodynamic Constraints
Young-Woon Song, Jun-Gill Kang, Son-Cheol Yu
IEEE Access, 2023  
project page / video / paper

Developed dual-unit wall climbing robot that can attach to fixed wall and traverse obstacle using both body.

Service

Reviewer for IROS2024, IROS2025


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