Dongkyu Lee

Ph.D. Candidate at Korea Advanced Institute of Science and Technology (KAIST)

About Me

I am a Ph.D. candidate in the Department of Electrical Engineering at KAIST, and a member of the Urban Robotics Lab led by Prof. Hyun Myung. My current research interests lie in autonomous navigation for legged robots, focusing on developing motion and path planning, decision-making, and the interplay between SLAM and navigation algorithms for long-term field robotics applications.

Education

Ph.D.

Department of Electrical Engineering

Korea Advanced Institute of Science and Technology (KAIST), South Korea

Sep. 2023 - present

M.S.

Robotics Program

Korea Advanced Institute of Science and Technology (KAIST), South Korea

Sep. 2021 - Aug. 2023

B.S.

School of Electrical and Computer Engineering

University of Seoul (UOS), South Korea

Mar. 2016 - Aug. 2021

Research Experience


Research Intern

Urban Robotics Lab, KAIST, South Korea

Feb.2021 - Aug.2021


Research Intern

Artificial Intelligence Research Team, Electronics and Telecommunications Research Institute (ETRI), South Korea

Jan.2021 - Feb.2021


Research Intern

Software Maestro 11th, Ministry of Science and ICT (MSIT), South Korea

Jun.2020 - Dec.2020

Research Highlights


TRG-Planner: Traversal Risk Graph-Based Path Planning in Unstructured Environments for Safe and Efficient Navigation

Dongkyu Lee, I Made Aswin Nahrendra, Minho Oh, Byeongho Yu, and Hyun Myung

IEEE Robotics and Automation Letters (RA-L), 2025

Paper Project


DreamFLEX: Learning Fault-Aware Quadrupedal Locomotion Controller for Anomaly Situation in Rough Terrains

Seunghyun Lee, I Made Aswin Nahrendra, Dongkyu Lee, Byeongho Yu, Minho Oh, and Hyun Myung

IEEE International Conference on Robotics and Automation (ICRA), 2025

Project


DreamWaQ++: Obstacle-aware Quadrupedal Locomotion with Resilient Multi-modal Reinforcement Learning

I Made Aswin Nahrendra, Byeongho Yu, Minho Oh, Dongkyu Lee, Seunghyun Lee, Hyeonwoo Lee, Hyungtae Lim, and Hyun Myung

under review

Paper Project


TRIP: Terrain Traversability Mapping With Risk-Aware Prediction for Enhanced Online Quadrupedal Robot Navigation

Minho Oh, Byeongho Yu, I Made Aswin Nahrendra, Seoyeon Jang, Hyeonwoo Lee, Dongkyu Lee, Seungjae Lee, Yeeun Kim, Marsim Kevin Christiansen, Hyungtae Lim, Hyun Myung

under review

Paper

Awards

Autonomous Quadrupedal Robot Challenge in ICRA 2023, London, UK

Winner (1st Place)

Team DreamSTEP of KAIST

Role: Safe path planning using TRG-planner

Autonomous Quadrupedal Robot Challenge in ICRA 2024, Yokohama, Japan

2nd Place

Team DreamTRIP of KAIST

Role: Safe path planning using TRG-planner

KROC 2024 RED Show

Best Work Award

Development of various gait pattern locomotion for quadruped robots using deep reinforcement learning

Other Publications