Hyesu Jang

Seadronix Inc.. / Physical AI Team

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I am a Robotics Researcher at Seadronix Inc.. My research focuses on Sensor Fusion and SLAM algorithm development for autonomous vessel systems, utilizing X-band Radar, W-band Radar, and LiDAR.

Previously, I was a Post-Doctoral Researcher at the Institute of Advanced Machines and Design at Seoul National University (SNU). I obtained my Ph.D. (Aug. 2024) in Mechanical Engineering at SNU (Robust Perception and Mobile Robotics Lab), advised by Prof. Ayoung Kim. My doctoral research centered on Robust Radar SLAM for Maritime Environments.

I completed my M.S. (Aug. 2020) and B.S. (Aug. 2018) in Civil and Environmental Engineering at the Korea Advanced Institute of Science and Technology (KAIST). During my Master’s, I was also advised by Prof. Ayoung Kim and focused on Opti-Acoustic Underwater SLAM using style-transferred multi-modal matching. Throughout my academic and professional career, I have actively contributing to the advancement of autonomous navigation technologies from the underwater to surface, full maritime autonomy.

news

Oct 29, 2025 XPRESS paper published in RA-L.
Jul 08, 2025 MOANA paper published in IJRR (Cover Article).
May 18, 2025 ICRA 2025 Best Paper Award on Robot Perception – Finalist!
Dec 31, 2024 Joined Seadronix Inc. as a Robotics Researcher.

selected publications

  1. 25_xpress.png
    XPRESS: X-band Radar Place Recognition via Elliptical Scan Shaping
    Hyesu Jang, Wooseong Yang, Ayoung Kim, Dongje Lee, and Hanguen Kim
    IEEE Robotics and Automation Letters (RA-L) , 2025
  2. 25_moana.png
    MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
    Hyesu Jang*, Wooseong Yang*, Hanguen Kim, Dongje Lee, Yongjin Kim, Jinbum Park, Minsoo Jeon, Jaeseong Koh, Yejin Kang, Minwoo Jung, Sangwoo Jung, and Ayoung Kim
    International Journal of Robotics Research (IJRR) , 2025
  3. 24_lodestar.png
    LodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry
    Hyesu Jang, Minwoo Jung, Myung-Hwan Jeon, and Ayoung Kim
    IEEE Robotics and Automation Letters (RA-L) , 2024