Dong Hyeon Kim

Robotics Engineer & AI Researcher

ehdgus2210@gmail.com donghyeon99

Professional Experience

Luxrobo

Robotics Engineer

Autonomous Golf Cart Project

Mar. 2025 - Present

Developing RTK GPS Autonomous Driving System with advanced control algorithms

Focus Areas:

• Firmware development and system integration
• Extended Kalman Filter implementation
• PID control systems optimization
• Bicycle model dynamics

C RTK GPS Extended Kalman Filter PID Control Bicycle Model

Smart Parking System Project

May. 2024 - Mar. 2025

Developed comprehensive smart parking solution with computer vision and real-time processing

Key Achievements:

• Image Processing Server architecture design
• Light control server implementation
• Real-time data processing optimization

Redis MySQL C++ Go OpenCV CUDA

Advanced Control Systems Laboratory

Research Student Korea University

Multi-Agent Systems Research

Feb. 2022 - Feb. 2024

Advanced research in cooperative robotics and distributed systems

Research Areas:

• Multi-agent systems coordination
• Control theory applications
• State estimation algorithms

AI-based Cooperative Autonomous Swarm Anti-Drone System

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

Research Intern

Jan. 2021 - Feb. 2021

Robot Vision Lab, KIST

Computer vision and robotics research experience at Korea Institute of Science and Technology

Team Leader

Jan. 2019 - Feb. 2022

ROBIT - Robot Sports Game Team

Led competitive robotics team specializing in humanoid robot development, achieving multiple international awards

Image Processing Localization Firmware Circuit Design

Education

Master of Science in Electrical Engineering

Korea University

Mar. 2022 - Feb. 2024

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

Bachelor of Science in Robotics

Kwangwoon University

Mar. 2018 - Feb. 2022

Program: Division of Robotics

Technical Expertise

Programming Languages

C++ Python C MATLAB Go

Robotics & Control

ROS/ROS2 MAVROS Kalman Filters PID Control Gazebo

AI & Computer Vision

OpenCV Neural Networks CUDA PyTorch

Databases & Tools

MySQL Redis Git Docker Linux

Hardware & Embedded

RTK GPS STM32 Arduino Pixhawk

Specialized Areas

Multi-Agent Systems SLAM UAV Control Swarm Robotics

Publications

IEEE Transactions on Industrial Electronics

Finite-Memory Cooperative Localization Based on Multi-Sensor Information Fusion Using Neural Networks for Multiple Humanoid Robots

D. H. Kim, J. M. Pak*, P. Shi, and C. K. Ahn*

In press DOI: 10.1109/TIE.2025.3600539

IEEE Transactions on Industrial Electronics

Secure Event-Triggered Distributed Finite-Memory Localization for Multiple Mobile Robots Under Cyberattacks

J. Y. Ko, J. M. Pak*, D. H. Kim, and C. K. Ahn*

Vol. 71, No. 10, Oct. 2024, pp. 12931–12941

Awards & Achievements

Grand Prize

Future Mobility Idea Competition

Korea Automotive Technology Institute

September 2023

Grand Prize

17th ICT Exhibition (KWIX)

Kwangwoon University President Award

September 2021

Grand Prize (Presidential Prize)

International Robot Contest 2020

Ministry of Trade, Industry and Energy

November 2020

First Place

RoboCup 2020 KoreaOpen Humanoid S

KIRIA Award

August 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

February 2019

Third Place

International Robot Contest 2020 Humanoid Robot Sports

1st competition

November 2020

Key Projects

Distributed Humanoid Localization

Jul. 2022 – Feb. 2024

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

Cooperative Localization Humanoid Robot Neural Network Finite-Memory Estimation

Watch Demo

UAV Formation Control

Mar. 2022 – Feb. 2024

Implemented leader–follower UAV formation using virtual leader and sliding mode control, deployed on 3 real UAVs.

UAV Formation Control Sliding Mode Control ROS MAVROS

Watch Demo

Smart Caddy Robot

Jan. 2021 – Nov. 2021

Developed obstacle avoidance system for mapless navigation using deep reinforcement learning and active filtering.

Mapless Navigation Deep RL Obstacle Avoidance STM32

Watch Demo