HappyMoon | Seongjoon Moon

HappyMoon | Seongjoon Moon

Ph.D. Candidate
ISR Lab @ KU

Education

Graduate Studies

  • Ph.D. Candidate in Mechanical Engineering (2020.09 - Present)
    • ISR Lab (Intelligent Systems & Robotics Lab)
    • Korea University
    • Advisor: Prof. Woo-Jin Chung (정우진 교수님)
    • Research Focus: Multi-robot Systems, Reinforcement Learning, Trajectory Planning

Undergraduate

  • B.S. in Mechanical Engineering (2016.03 - 2020.08)
    • Korea University
    • Seoul, South Korea

Research Interests

  • Trajectory Generation with Reinforcement Learning for Safe, Efficient Navigation
    • Deep reinforcement learning algorithms
    • Collision-free path planning
    • Real-time trajectory optimization
  • Multi-robot Task Allocation and Pathfinding
    • Cooperative task allocation strategies
    • Decentralized path planning
    • Multi-agent reinforcement learning

Publications

Conference Papers

  • [TODO] - Papers to be added after publication

Journal Papers

  • [TODO] - Papers to be added after publication

Research Experience

Current Research

Reinforcement Learning-based Robot Trajectory Planning

  • Duration: 2024 - Present
  • Advisor: Prof. Woo-Jin Chung
  • Technologies: PyTorch, ROS2, Isaac Sim
  • Description: Developing RL algorithms for optimal trajectory generation in robotic systems
  • Status: Ongoing research

Past Research

Multi-robot Task Allocation and Path Planning

  • Duration: 2022 - 2024
  • Advisor: Prof. Woo-Jin Chung
  • Technologies: Python, ROS, MATLAB
  • Description: Developed algorithms for efficient task distribution and collision-free path planning in multi-robot systems
  • Key Achievements: [TODO] - To be updated

Other Projects

  • [TODO] - Additional projects to be documented

Technical Skills

Programming Languages

  • Expert: Python, C++
  • Proficient: MATLAB, JavaScript
  • Familiar: Julia, Rust

Robotics & AI

  • Frameworks: ROS/ROS2, PyTorch, TensorFlow
  • Simulation: Gazebo, Isaac Sim, MuJoCo
  • Computer Vision: OpenCV, PCL, Open3D

Tools & Platforms

  • Version Control: Git, GitHub
  • Container: Docker, Singularity
  • Cloud: AWS, Google Cloud Platform

Awards & Honors

  • [TODO] - Awards to be added

Teaching Experience

Teaching Assistant

  • [TODO] - TA experiences to be documented

Professional Activities

Conference Reviews

  • [TODO] - Review activities to be added

Workshop Organization

  • [TODO] - Workshop organization to be documented

Contact

Last updated: January 2024