Jungil Ham
Ph.D. Candidate in Mechanical and Robotics Engineering
Gwangju, South Korea 61005
I work on spatial AI for robots — robust visual localization and SLAM — from the International Space Station to aerial and field robots.
I’m a Ph.D. candidate in the Machine Perception and Intelligence Lab (MPIL) at GIST, advised by Pyojin Kim. I build structure-aware visual localization: San Francisco World (RA-L 2025), SF-SLAM (IEEE T-RO, under review), DTOR, an ISS digital-twin compass, and a microgravity SLAM benchmark on NASA’s Astrobee (ICRA 2026 workshop). Currently working on digital-twin SLAM for Astrobee and dynamic Gaussian Splatting SLAM.
Previously: research intern at the NASA Ames Intelligent Robotics Group; earlier internships at KIST and SKKU’s Robotics Innovatory. M.S., GIST · B.S., Kwangwoon University. Full details in my CV.
News
| Jun 16, 2026 | PI-EAT-SLAM thermal Gaussian Splatting SLAM accepted to IROS 2026 |
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| Jun 1, 2026 | Astrobee microgravity SLAM benchmark presented at the ICRA 2026 Space Robotics Workshop |
| Oct 19, 2025 | SPLiCE single-point LiDAR–camera calibration presented at IROS 2025 |
| Jul 29, 2025 | DTOR drift-free visual compass presented at the 2nd Space Robotics Workshop |
| Jan 2, 2025 | San Francisco World, slope-aware 3-DoF visual compass, accepted to IEEE RA-L |
Selected Publications
2026
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San Francisco SLAM: Structural Localization and Mapping Beyond the Manhattan WorldIEEE Transactions on Robotics (T-RO), under review, 2026* Equal contribution