Sangwoo Jung

Ph.D. Candidate @ RPM Robotics Lab at SNU

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I’m a Ph.D. candidate in RPM Robotics Lab at Seoul National University (SNU), being advised by Prof. Ayoung Kim. Currently, I’m focusing on radar, LiDAR, and quadrupedal robot applications for Simultaneous Localization and Mapping (SLAM), sensor fusion and deep learning. My interest lies at the intersection of these cutting-edge technologies, exploring their integration for advanced perception and navigation systems.

A head of this, I was a M.S. student in RPM Robotics Lab at SNU. During my M.S. studies, my research concentrated on mitigating the vertical odometry drift of quadrupedal robots by leveraging radar sensor data and leg kinematics analysis. Furthermore, I carried through numerous academic works related to the SLAM in degenerated environments, including LiDAR-based SLAM, heterogeneous sensor fusion, deep learning based data conversion, etc.

selected publications

  1. IROS
    Co-RaL: Complementary Radar-Leg Odometry with 4-DoF Optimization and Rolling Contact
    Sangwoo Jung, Wooseong Yang , and Ayoung Kim
    arXiv preprint arXiv:2407.05820, 2024
  2. ISR
    Imaging radar and LiDAR image translation for 3-DOF extrinsic calibration
    Sangwoo Jung, Hyesu Jang , Minwoo Jung , Ayoung Kim , and Myung-Hwan Jeon
    Intelligent Service Robotics, 2024
  3. RA-Letters
    Asynchronous multiple lidar-inertial odometry using point-wise inter-lidar uncertainty propagation
    Minwoo Jung , Sangwoo Jung, and Ayoung Kim
    IEEE Robotics and Automation Letters, 2023
  4. IJRR
    TRansPose: Large-scale multispectral dataset for transparent object
    Jeongyun Kim , Myung-Hwan Jeon , Sangwoo Jung, Wooseong Yang , Minwoo Jung , Jaeho Shin , and Ayoung Kim
    The International Journal of Robotics Research, 2023