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  • 현재페이지 3/5
  • 정훈_증명사진_-_hoon_chung.jpg chung hoon Master's course
    • Year of admission 2023 autumn
    • 연구분야 robust localization with lidar - visual fusing and learning based decision making

    I am the Co-Founder of Mobinn Inc, that is making robot delivery a reality.

  • 정희찬3-4_-_정희찬.jpg HEECHAN CHUNG Master's course
    • Year of admission 2023 autumn
    • 연구분야 Reinforcement Learning, Robotics

    Hello, I am HeeChan Chung who is interested in reinforcement learning and robotics. Currently, I am conducting research on multi-agent reinforcement learning and motion planning. I am studying various motion planning algorithms to improve the stability and efficiency of robots through reinforcement learning, and I want to solve real-world problems by applying them to real robots.

  • thumbnail_02.png Nabila Hosny Roshdy Adawy Master's course
    • Year of admission 2023 autumn
  • thumbnail_02.png Seif Abdelbaset Abdelrhman Farag Master's course
    • Year of admission 2023 autumn
  • thumbnail_02.png Adeeb Mohammed Islam Master's course
    • Year of admission 2023 autumn
  • 김대범_-_Daebeom_Kim.jpg Daebeom Kim Master's course
    • Year of admission 2023 spring
    • 연구분야 LiDAR SLAM

    Challenge something new.

  • 김원준.jpg Wonjune Kim Master's course
    • Year of admission 2023 spring
    • 연구분야 3D Object detection for autonomous driving
  • thumbnail_02.png Jin Kim Master's course
    • Year of admission 2023 spring
  • thumbnail_02.png juhyeong Roh Master's course
    • Year of admission 2023 spring
  • 박민규.jpg Mingyu Park Master's course
    • Year of admission 2023 spring
    • 연구분야 Reinforcement learning, Robotics Engineering
    • Journal
      Park, M., Kim, D., Oh, Y., & Lee, Y. (2022). Computational Cost Reduction Method for HQP-based Hierarchical Controller for Articulated Robot. Journal of Korea Robotics Society, 17(1), 16-24.

    I'm studying various robotics engineering based on reinforcement learning such as control or motion planning of robots. I believe that truly intelligent robots without human intervention can be implemented through reinforcement learning.