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Myung-Hwan Jeon

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Myung-Hwan Jeon

Assitant Professor @ Robotics and AI Vision Lab, KIT

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I’m an assistant professor in School of Electronic Engineering at KIT.

Previously, I was a postdoctoral researcher in KIMLAB at UIUC, advised by Prof. Joohyung Kim. My research focused on visual perception for robot manipulation in human environments.

Before that, I was a postdoctoral researcher in RPM robotics Lab at SNU, advised by Prof. Ayoung Kim. I obtained Ph.D. degree in the Robotics Program at KAIST. My research topic during my Ph.D. had been focused on the vision-based 6D object pose estimation toward efficient robot manipulation, advised by Prof. Ayoung Kim. I also executed a lot of research projects related to the SLAM in the real-world, dealing with LiDAR-based methods, heterogeneous sensor-fusion, pose-graph optimization, etc.

I am interested in implementing embodied Intelligence for real-world applications to help us all live better lives. Especially, I believe that proposing efficient and effective mobile manipulation could greatly benefit everyday life. I am eager to play a pivotal role in shaping the future of AI and robotics.

See my full CV.

selected publications

  1. CVPR-Highlight
    Unbiased Estimator for Distorted Conic in Camera Calibration
    Chaehyeon Song, Jaeho Shin, Myung-Hwan Jeon, Jongwoo Lim, and Ayoung Kim
    In IEEE/CVF Conference on Computer Vision and Pattern (CVPR) (Highlight), 2024
  2. IJRR
    TRansPose: Large-scale multispectral dataset for transparent object
    Myung-Hwan Jeon, Jeongyun Kim, Sangwoo Jung, Wooseong Yang, Minwoo Jung, Jaeho Shin, and Ayoung Kim
    The International Journal of Robotics Research, 2023
  3. RA-Letters
    Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
    Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, and Ayoung Kim
    IEEE Robotics and Automation Letters, 2022
  4. RA-Letters
    PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation
    Myung-Hwan Jeon, and Ayoung Kim
    IEEE Robotics and Automation Letters, 2020

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