Hogyun Kim

I'm a PhD student in the Department of Electrical and Computer Engineering at Inha University, advised by Younggun Cho in SPARO Lab. I also received my B.S. in Naval Architecture and Ocean Engineering from Inha University. My research focuses on scalable and collaborative robot autonomy in multi-robot systems, studying how robots perceive, map, and operate in shared environments through communication-efficient coordination and interaction.

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News

  • [26.03.12]   Selected a student representative on the Safety, Security, and Rescue Robotics (SSRR) community
  • [26.03.03]   Submitted one paper to IEEE/RSJ IROS 2026 (1st Author)
  • [26.02.10]   Submitted one paper to IEEE T-FR 2026 (1st Author)
  • [26.02.01]   Accepted one paper to IEEE ICRA 2026 (2nd Author)
  • [26.01.23]   Awarded the Silver Prize in 32nd Samsung Humantech Paper Award (1st Author)
  • [26.01.16]   Submitted one paper to IJRR 2026 (1st Author)
  • [25.08.29]   Awarded Ph.D Candidate Research Fellowship in NRF (Principal Investigator)
  • [25.08.05]   Invited for IEEE T-FR Special Issue (1st Author)
  • [25.06.16]   Accepted one paper to IEEE/RSJ IROS 2025 (2nd Author)
  • [25.06.01]   Accepted one paper to IEEE T-IV 2025 (2nd Author)
  • [25.04.30]   Selected for Spotlight Talk at ICRA 2025 Workshop on Field Robotics (1st Author)
  • [25.01.28]   Accepted two papers to IEEE ICRA 2025 (Co-Author)
  • [24.09.18]   Accepted one paper to IEEE RA-L 2024 (1st Author)
  • [24.07.22]   Accepted one paper to IEEE RA-L 2024 (1st Author)
  • [24.05.13]   Awarded Best Paper Award (3rd Place) at ICRA 2024 Workshop on Future of Construction (2nd Author)
  • [23.05.16]   Accepted one paper to IEEE ICRA 2024 Workshop on Radar in Robotics (1st Author)
  • [24.01.09]   Accepted one paper to IEEE Sensors Letters 2024 (1st Author)
  • [23.05.16]   Accepted one paper to IEEE ICRA 2023 Workshop on Future of Construction (1st Author)
  • [23.01.17]   Accepted one paper to IEEE ICRA 2023 (1st Author)
  • [22.08.10]   Accepted one paper to IEEE IROS 2022 Late-Breaking (1st Author)

Research

My research interests lie in multi-robot systems spanning both robot autonomy and interaction. To date, my work has focused on multi-robot SLAM and place recognition for shared environmental perception, with an emphasis on communication-efficient knowledge mapping and sharing. Building on this foundation, I am expanding my research toward interactive and collaborative multi-robot systems that integrate perception, planning, and coordination. Some papers are highlighted.

kiss_imu Commerge: Communication-Efficient, Robust and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios
Hogyun Kim, Jiwon Choi, Juwon Kim, Geonmo Yang, Seokhwan Jeong, Hyungtae Lim, Younggun Cho
IJRR submitted, 2026
Under Review

[TL;DR] Communication-Efficient Multi-Robot Map Merging Framework
kiss_imu KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference
Jiwon Choi, Hogyun Kim, Geonmo Yang, Juhui Lee, Younggun Cho
ICRA, 2026
Accepted to Appear

[TL;DR] Self-Supervised Inertial Odometry (IO)
b3do MARSCalib: Multi-robot, Automatic, Robust, Spherical Target-based Extrinsic Calibration in Field and Extraterrestrial Environments
Seokhwan Jeong, Hogyun Kim, Younggun Cho
IROS, 2025
project page / arXiv / paper / code / youtube

[TL;DR] Multi-Robot, Spherical Target-based LiDAR-camera Calibration
b3do Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments
Gilhwan Kang, Hogyun Kim, Byunghee Choi, Seokhwan Jeong, Youngsik Shin, Younggun Cho
T-IV, 2025
project page / arXiv / paper / code / youtube

[TL;DR] Multi-Robot and Multi-Modal LiDARs Mapping Framework
b3do SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments
Hogyun Kim, Jiwon Choi, Juwon Kim, Geonmo Yang, Dongjin Cho, Hyungtae Lim, Younggun Cho
ICRA workshop on Field Robotics (spotlight talk), 2025
project page / arXiv / code

[TL;DR] Multi-Robot and Distributed LiDAR SLAM Framework
diter_plus DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments
Juwon Kim, Hogyun Kim, Seokhwan Jeong, Youngsik Shin, Younggun Cho
ICRA, 2025
project page / arXiv / paper / code / download link / youtube

[TL;DR] Multi-Robot and Multi-Modal Dataset
polaris PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal
Jiwon Choi, Dongjin Cho, Giheyon Lee, Hogyun Kim, Geonmo Yang, Joowan Kim, Younggun Cho
ICRA, 2025
project page / arXiv / paper / code / download link / youtube

[TL;DR] Object Detection and Tracking Dataset in Maritime
b3do ReFeree: Radar-based Lightweight and Robust Localization using Feature and Free space
Hogyun Kim*, Byunghee Choi*, Euncheol Choi, Younggun Cho
RA-L, 2024
project page / arXiv / paper / code / youtube

[TL;DR] Lightweight Radar Place Recognition
solid Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition
Hogyun Kim, Jiwon Choi, Taehu Sim, Giseop Kim, Younggun Cho
RA-L, 2024
project page / arXiv / paper / code / youtube

[TL;DR] Lightweight LiDAR Place Recognition
diter DiTer: Diverse Terrain and Multimodal Dataset for Field Robot Navigation in Outdoor Environments
Seokhwan Jeong*, Hogyun Kim*, Younggun Cho
IEEE Sensors Letters, 2024
project page / paper / download link / youtube

[TL;DR] Multi-Modal Legged Robot Datasets
sonar_context Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments
Hogyun Kim, Gilhwan Kang, Seokhwan Jeong, Seungjun Ma, Younggun Cho
ICRA, 2023
project page / arXiv / paper / code / youtube

[TL;DR] Sonar Place Recognition in Underwater

ETC

Presentation

 IEEE RAS Summer School on Multi-Robot Systems, 2024
ICROS OS on Robotics and AI Tech. for Space and Extreme Environments, 2024
KRoC OS on Cutting-Edge Tech. and App. for Autonomous Multi-Robot/Agent Collabo, 2025

Academic Service

 Reviewer, IJRR 2025
Reviewer, RAL 2024, 2025, 2026
Reviewer, ICRA 2026
Reviewer, IROS 2025
Reviewer, IEEE JOE 2025

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