Curriculum Vitae

Curriculum Vitae

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Dong Hyeon Kim

Robotics & Control Engineer

Education

Korea University [site]

Major: Electrical Engineering (M.S.)

Period: Mar. 2022 - Feb. 2024

Thesis: "Fusion of Neural Networks and Finite Memory Estimation for Distributed Localization of Multiple Humanoid Robots"

Kwangwoon University [site]

Major: Division of Robotics

Period: Mar. 2018 - Feb. 2022

Degree: B.S. in Robotics

Experience

Luxrobo [site]

Position: Robotics Engineer

Period: Mar. 2025 - Present

Project: Autonomous Golf Cart

Focus: RTK GPS Autonomous Driving System, firmware development, Extended Kalman Filter, PID control, bicycle model

Technologies: C, RTK GPS, Extended Kalman Filter, PID Control, Bicycle Model

Period: May 2024 - Mar. 2025

Project: Smart Parking System

Focus: Image Processing Server, light control server

Technologies: Redis, MySQL, C++, Go, OpenCV, CUDA

Research Student at Advanced Control Systems Laboratory [site]

Institution: Korea University

Period: Feb. 2022 - Feb. 2024

Research Areas: Multi-agent systems, Control theory, Estimation

Key Project: AI-based Cooperative Autonomous Swarm Anti-Drone System

Description: Development of AI-based cooperative autonomous swarm system for neutralizing illegal drones

Internship at Robot Vision Lab [site]

Institution: Korea Institute of Science and Technology (KIST)

Period: Jan. 2021 - Feb. 2021

Focus: Computer vision, Robotics

Robot Sports Game Team: ROBIT [site]

Institution: Kwangwoon University

Period: Jan. 2019 - Feb. 2022

Responsibilities: Image processing, Localization, Firmware, Circuit design

Achievements: Multiple RoboCup and Robot Contest awards

Technical Skills

Programming Languages

C++ Python MATLAB Go

Frameworks & Libraries

ROS OpenCV Qt

Tools & Environments

Git Docker Linux

Publications

1. D. H. Kim, J. M. Pak*, P. Shi, and C. K. Ahn*, "Finite-Memory Cooperative Localization Based on Multi-Sensor Information Fusion Using Neural Networks for Multiple Humanoid Robots," IEEE Transactions on Industrial Electronics (Early Access, DOI:10.1109/TIE.2025.3600539)

2. J. Y. Ko, J. M. Pak*, D. H. Kim, and C. K. Ahn*, "Secure Event-Triggered Distributed Finite-Memory Localization for Multiple Mobile Robots Under Cyberattacks," IEEE Transactions on Industrial Electronics, Vol. 71, No. 10, Oct. 2024, pp. 12931–12941.

Awards

Grand Prize

Future Mobility Idea Competition

Korea Automotive Technology Institute, Korea
September 2023
Grand Prize

17th ICT Exhibition (KWIX)

Kwangwoon University President Award, Korea
September 2021
Grand Prize (Presidential Prize)

International Robot Contest 2020 Humanoid Robot Sports

Ministry of Trade, Industry and Energy, Korea
November 2020
First Place

RoboCup 2020 KoreaOpen Humanoid S

KIRIA Award, Korea
August 2020
Third Place

International Robot Contest 2020 Humanoid Robot Sports

1st competition, Korea
November 2020
Second Place

RoboCup 2019 Humanoid League TeenSize Drop-In Challenge

Australia
July 2019
Third Place

RoboCup 2019 Humanoid League TeenSize Technical Challenge

Australia
July 2019
First Place

RoboCup 2019 KoreaOpen Humanoid S

Gangwon-do Governor Award, Korea
February 2019

Projects

Period: Jul. 2022 – Feb. 2024

Summary: Designed a robust localization algorithm for humanoid robots using finite-memory estimation and ANN-based odometry fusion.

Keywords: Cooperative Localization, Humanoid Robot, Finite-Memory Estimation, Odometry, Neural Network

Watch Demo

Period: Mar. 2022 – Feb. 2024

Summary: Implemented leader-follower UAV formation using virtual leader and sliding mode control, deployed on 3 real UAVs with ROS, MAVROS, and Pixhawk.

Keywords: UAV, Formation Control, Virtual Leader, Sliding Mode Control, ROS, MAVROS, Pixhawk

Watch Demo

Period: Jan. 2021 – Nov. 2021

Summary: Developed an obstacle avoidance system for mapless navigation using deep reinforcement learning and active filtering. Integrated into a Caddy Robot with ROS to achieve collision-free autonomous driving.

Keywords: Mapless Navigation, Obstacle Avoidance, Deep Reinforcement Learning, ROS, STM32

Watch Demo