I am an assistant professor in the Department of Electrical and Electronic Engineering and lead the Spatial AI and Robotics Lab at Inha University.
Before joining Inha University, I was an assistant professor in the Department of Robotics Engineering at Yeungnam. Also, I was a postdoctoral researcher at KAIST. My research interest is long-term autonomy and robust sensing, including SLAM (Simultaneous Localization and Mapping) for field robots, vision-based perception, and physics-based learning.
I received the Ph. D. degree in the Department of Civil and Environmental Engineering with Robotics program at KAIST Daejeon, South Korea, advised by Prof. Ayoung Kim. Also, I received M.S. degree in the Department of Electrical Engineering at KAIST, advised by Prof. Myungjin Chung. Before that, I received the B.E. degree in the Department of Electrical in Inha University, Incheon, South Korea.
E-mail: yg.cho [at] inha.ac.kr, yg.b.cho [at] gmail.com
Collaborative Intelligence
Multi‐robot SLAM in limited communication conditions
Knowledge sharing between robots
Long‐term Autonomy
SLAM in field environments
Learning‐assisted map representation
Vision for navigation
Robust Sensing
Visibility enhancement
Informative feature selection
[Service] Appointed as an Associate Editor for IEEE ICRA 2026.
[Award] Received the New Generation Star Project Award at IROS 2025.
[Paper] Two papers (MSG-Loc, Freeze-Frame) are accepted to IEEE Robotics and Automation Letters (RA-L) 2026.
[Award] Received the Minister of Trade, Industry and Energy Award (2024 Embedded Software Competition).
[Service] Serving as an Organizing Committee member for IEEE SSRR 2026.
Associate Editor
IEEE International Conference on Robotics and Automation (ICRA), 2026 (Current)
Intelligent Service Robotics, 2025 - Current
International Conference on Control, Automation, and Systems (ICCAS), 2024
IEEE International Conference on Ubiquitous Robots (UR), 2020, 2021, 2023, 2024
Korean Robotics Society Annual Conference (KROC), 2024, 2026
The Korean Society of Intelligent Transport Systems (ITS Journal), 2025 - Current
Organizing Committee
IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2026
Korean Robotics Society Annual Conference (KROC), 2024, 2026
Reviewer
Journals: IEEE T-RO, IJRR, IEEE TNNLS, IEEE RA-L, IEEE RA-M, IEEE T-ITS, IEEE T-IV, JFR, AuRO, IEEE Sensors Journal
Conferences: IEEE ICRA, IEEE IROS, IEEE IV, IEEE UR, ICCAS, RiTA
MSG-Loc: Multi-Label Likelihood-based Semantic Graph Matching for Object-Level Global Localization
Gihyeon Lee, Jungwoo Lee, Juwon Kim, Young-Sik Shin, and Younggun Cho
IEEE Robotics and Automation Letters (RA-L), 2026 (Accepted)
Freeze-Frame with StaticNeRF: Uncertainty-Guided NeRF Map Reconstruction in Dynamic Scenes
Juhui Lee, Geonmo Yang, Seungjun Ma, and Younggun Cho
IEEE Robotics and Automation Letters (RA-L), 2026 (Accepted)
Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments
Gilhwan Kang, Hogyun Kim, Byunghee Choi, Seokhwan Jeong, Young-Sik Shin and Younggun Cho
IEEE Transactions on Intelligent Vehicles (T-IV), 2025
TRIDENT: Efficient Triple-Task Learning of Dehazing, Depth and Uncertainty Estimation for Underwater 3D Robot Visual Perception Geonmo Yang and Younggun Cho
IEEE Sensors Journal, 2025
ReFeree: Radar-Based Lightweight and Robust Localization Using Feature and Free space
Hogyun Kim, Byunghee Choi, Euncheol Choi, and Younggun Cho
IEEE Robotics and Automation Letters (RA-L), 2024
Narrowing your FOV with SOLID: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition Hogyun Kim, Jiwon Choi, Taehu Shim, Giseop Kim, and Younggun Cho
IEEE Robotics and Automation Letters (RA-L), 2024
Joint-ID: Transformer-based Joint Image Enhancement and Depth Estimation for Underwater Environments
Geonmo Yang, Gilhwan Kang, Juhui Lee, Younggun Cho
IEEE Sensors Journal, 2024
Nonparametric Background Model-Based LIDAR SLAM in Highly Dynamic Urban Environments
Joohyun Park, Younggun Cho, Young-Sik Shin
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
Proactive Camera Attribute Control using Bayesian Optimization for Illumination-Resilient Visual Navigation
Joowan Kim, Younggun Cho, and Ayoung Kim
IEEE Transactions on Robotics (T-RO), 2020
Underwater Image Dehazing via Unpaired Image-to-image Translation Younggun Cho,
Hyesu Jang, Ram Malav, Grurav Pandey and Ayoung Kim
International Journal of Control, Automation and Systems (IJCAS), 2020
Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision
Younggun Cho, Jinyong Jeong and Ayoung Kim
IEEE Robotics and Automation Letters (RA-L), 2018
Channel Invariant Online Visibility Enhancement for Visual SLAM in a Turbid Environment
Younggun Cho and Ayoung Kim
Journal of Field Robotics (JFR), 2018
International Conferences
CUTE-Planner: Confidence-aware Uneven Terrain Exploration Planner
Miryeong Park, Dongjin Cho, Sanghyun Kim, and Younggun Cho
International Conference on Space Robotics (i-SPARO), Sendai, Japan, Dec 2025
MARSCalib: Multi-robot, Automatic, Robust, Spherical Target-based Extrinsic Calibration in Field and Extraterrestrial Environments Seokhwan Jeong, Hogyun Kim and Younggun Cho
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, Nov 2025
DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments
Juwon Kim, Hogyun Kim, Seokhwan Jeong, Youngsik Shin, and Younggun Cho
IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 2025
PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal
Jiwon Choi, Dongjin Cho, Gihyeon Lee, Hogyun Kim, Geonmo Yang, Joowan Kim and Younggun Cho
IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, May 2025
Salience-guided Ground Factor for Robust Localization of Delivery Robots in Complex Urban Environments
Jooyong Park, Jungwoo Lee, Euncheol Choi, and Younggun Cho
IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, May 2024
Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments
Hogyun Kim, Gilhwan Kang, Seokhwan Jeong, Seungjun Ma and Younggun Cho
IEEE International Conference on Robotics and Automation (ICRA), London, UK, May 2023
Unsupervised Geometry-Aware Deep LiDAR Odometry
Younggun Cho, Giseop Kim and Ayoung Kim
IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 2020
Visibility Enhancement for Underwater Visual SLAM based on Underwater Light Scattering Model
Younggun Cho and Ayoung Kim
IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 2017