Jungil Ham

Ph.D. Candidate in Mechanical and Robotics Engineering

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Gwangju, South Korea. 61005

Jungil Ham is pursuing a Ph.D. in Mechanical and Robotics Engineering at the Gwangju Institute of Science and Technology (GIST). His research focuses on visual localization, mapping, and orientation estimation for robots operating in complex environments, including space robotics, indoor aerial platforms, and structurally constrained scenes.

He designed highly accurate visual compasses leveraging structural priors in stair-dominant environments and digital twins of the International Space Station (ISS). During his master’s studies, he also led the end-to-end development of a pedestrian-following aerial robot, from drone design and fabrication to perception and control algorithms.

Jungil has conducted research through internships at Sungkyunkwan University and the Korea Institute of Science and Technology (KIST), where he broadened his perspective on robotics systems, perception, and applied research. He also collaborated closely with the NASA Ames Research Center Intelligent Robotics Group as a research intern. He received his M.S. in Mechanical and Robotics Engineering from GIST and his B.S. in Electronics and Information Engineering from Kwangwoon University.

News

Publications

2025

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    Drift-Free Visual Compass Leveraging Digital Twins for Cluttered Environments
    Jungil Ham, Soussan Ryan, Coltin Brian, and Pyojin Kim
    2025

2024

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    San Francisco World: Leveraging Structural Regularities of Slope for 3-DoF Visual Compass
    Jungil Ham, Minji Kim, Suyoung Kang, Kyungdon Joo, Haoang Li, and Pyojin Kim
    IEEE Robotics and Automation Letters, 2024

2023

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    Indoor Pedestrian-Following System by a Drone with Edge Computing and Neural Networks: Part 2-Development of Tracking System and Monocular Depth Estimation
    Jung-Il Ham, In-Chan Ryu, Jun-Oh Park, Jae-Woo Joeng, Sung-Chang Kim, and Hyo-Sung Ahn
    In 2023 23rd International Conference on Control, Automation and Systems (ICCAS), 2023
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    Indoor Pedestrian-Following System by a Drone with Edge Computing and Neural Networks: Part 1-System Design
    In-Chan Ryu, Jung-Il Ham, Jun-Oh Park, Jae-Woo Joeng, Sung-Chang Kim, and Hyo-Sung Ahn
    In 2023 23rd International Conference on Control, Automation and Systems (ICCAS), 2023
* Equal Contribution

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