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hogyun2/README.md

Website Tech Blog LinkedIn Scholar CV Email

I am Hogyun Kim, a Ph.D. student in SPARO Lab at Inha University, South Korea. My research focuses on scalable and collaborative autonomy for multi-robot systems. I work on multi-robot SLAM, place recognition, and communication-efficient map merging, helping robots perceive, map, and operate in shared environments under limited bandwidth and computing resources.

  • 🔭 Current research: Multi-Robot SLAM, Place Recognition, Map Merging, and Communication-Efficient Coordination.
Snake animation of Hogyun Kim's GitHub contribution graph

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  1. sparolab/SOLiD sparolab/SOLiD Public

    SOTA LiDAR Global Descriptor in LiDAR Place Recognition (accepted in RA-L'24 w/ ICRA'25)

    Python 210 11

  2. sparolab/SKiD-SLAM sparolab/SKiD-SLAM Public

    SOTA Distributed LiDAR SLAM @ IEEE T-FR'26

    C++ 124 6

  3. sparolab/Commerge sparolab/Commerge Public

    SOTA communication-efficient, fast, and robust map merging using 3D point cloud (@ IJRR'26)

    33 3

  4. sparolab/uni-mapper sparolab/uni-mapper Public

    SOTA Multi-modal LiDARs Mapping Framework (accepted in T-IV)

    C++ 112 8

  5. sparolab/ReFeree sparolab/ReFeree Public

    SOTA Radar Global Descriptor in Radar Place Recognition (accepted in RA-L'24 w/ ICRA'25)

    C++ 62 3

  6. sparolab/RadLoc sparolab/RadLoc Public

    SOTA Radar Global Localization (accepted in IROS 2026)

    C++ 11 1