Sewon Kim

Optimal Control and Reinfocement Learning.

This is Sewon Kim. I'm an undergraduate student in electrical and computer engineering based at the Unitversity of Seoul. I am interested in developing scalable learning and control methods and their theoretical foundations for robotics.

By the way, I'm originally from Seoul, South Korea 🇰🇷. I have a passion for jazz and heavy metal, and I spent many years playing acoustic and electric guitar in rock bands 🎸.

First-Order Methods for Trilevel Optimization

Sewon Kim, Hyunwoo Lee, Jeongyeol Kwon, and Dohyun Kwon. Under review at NeurIPS 2026.

[11/27/2025-01/21/2026] Planetary Gearbox Assembly by Galaxea R1

Finite State Machine Object Pose Estimation Inverse Kinematics

[08/25/2025-09/25/2025] Self-Driving Air Purifing Agent

🏆 4th Place (/200) ($2,200) — SK NAMUH X A1: Autonomous Driving Path Optimization

Monte Carlo Localization Traveling Salesman Problem Model Predictive Path Integral Control

[03/01/2024-12/19/2024] F1tenth Autonomous Racing

5th Place (/12) — 22nd F1tenth Autonomous Grand Prix at the Conference on Decision and Control 2024, Milan

F1Tenth refers to a 1/10-scale car of a real Formula 1 vehicle, which aims to achieve high-speed and collision-free autonomous driving. We built a full-stack autonomous navigation system for racing completely from scratch, especially MPPI, and I led the project with two undergraduate students.

Website | Code | LinkedIn

SLAM Monte Carlo Localization Race Line Optimization Model Predictive Path Integral Control

[07/25/2024–09/27/2024] Cart Pole System Design and Control with NMPC and PID

🏆 3rd Place (/25) ($220) — UOS ECE Innovation Fair

I built a physical Cart-Pole system, a classical control problem, for just 272 USD and applied nonlinear model predictive control. I independently developed 3D modeling, sensor integration, motor control, state estimation, embeded, and MPC.

Website | Code | LinkedIn

Model Predictive Control PID Hardware Mechanical Design Embedded Electronics State Estimation Stepper Motor