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About me
Introduction
/aboutme/

👋 Hello, I'm Solgyu Lee

I'm a passionate junior student at Soongsil University in Seoul, South Korea, specializing in Multi-Agent Reinforcement Learning (MARL) with a focus on robotics applications.

🤖 My Research Focus

My primary interest lies in Multi-Agent Reinforcement Learning, particularly its applications in robotics systems. I'm fascinated by how multiple intelligent agents can collaborate, compete, and learn from each other to solve complex real-world problems. However, my ultimate goal extends beyond theoretical research—I aim to become a well-rounded roboticist who can bridge the gap between cutting-edge AI algorithms and practical robotic implementations.

🔧 From Theory to Practice

While I dive deep into MARL algorithms and neural networks, I believe that understanding the physical aspects of robotics is equally crucial. That's why I'm actively involved in:

  • Hardware Projects: Building robots from scratch to understand mechanical constraints
  • Electronics: Learning soldering and circuit design for custom robotic components
  • Systems Integration: Combining AI software with real robotic hardware

This hands-on approach helps me design more practical and implementable MARL solutions for real-world robotic systems.

My skills

|-------------|-------------------|----------| | Programming | Frameworks & Tools | Hardware | | Python | PyTorch | Soldering | | Rust | ROS2 | Robot Assembly | | C++ | Isaac Sim | | | | Gazebo | |

🎯 Vision & Goals

I believe the future of robotics lies in intelligent multi-robot systems that can:

  • Collaborate efficiently in dynamic environments
  • Learn and adapt from collective experiences
  • Operate safely alongside humans
  • Scale from laboratory settings to real-world applications

My mission is to contribute to this future by developing MARL algorithms that are not just theoretically sound, but also practically deployable in real robotic systems.

Biography

2002.1.7 Born in Seoul, Korea 🇰🇷
2021.3 Entered Soongsil University
2022.5.2 Military service begins
2023.10.27 Discharged from military service
2024.3 Returned to university as sophomore
2025 Currently junior, focusing on MARL & Robotics

🌟 Who Am I

I'm a curious explorer driven by the desire to understand how things work—from the mathematical foundations of reinforcement learning to the mechanical intricacies of robotic joints.

I believe in learning by doing. Whether it's implementing a new MARL algorithm or soldering components for a custom robot, I find that hands-on experience provides insights that theory alone cannot offer.

Life Philosophy: Every challenge, whether it's debugging a stubborn RL algorithm or troubleshooting a malfunctioning robot, is an opportunity to grow. I've learned that embracing both successes and setbacks with curiosity rather than frustration leads to deeper understanding and better solutions.

The intersection of artificial intelligence and physical robotics excites me because it represents the ultimate challenge: creating machines that can think, learn, and act intelligently in our complex, unpredictable world.