Hyunseo Jang

M.S. Student, Department of Mobility Science and Engineering
Field Robot Lab, Korea University
Advisor: Prof. Youngeun Song

hyunseo_jang.jpg
Field Robot Lab Korea University kelvin926@korea.ac.kr

I study stability-aware robot learning and autonomy for mobile robotic systems, with work across wheeled-legged loco-manipulation, mobile manipulation, AMR perception/navigation, and simulation-driven robot design optimization.

Recent work spans Isaac Lab/RSL-RL/PPO-based Go2W-OpenArm KALO and shelf-transfer mobile manipulation, ROS/Autoware AMR integration with LiDAR-based detection/tracking, and CEBO-based T-pedal wheel design optimization.

Stability-aware robot learning Wheeled-legged locomotion and loco-manipulation.
Mobile manipulation Shelf-transfer tasks and logistics-oriented AMR autonomy.
AMR perception/navigation Learning-based planning/control, perception, and tracking.
Design optimization Simulation-driven robot design and stability-aware evaluation.

news

2026
KALO was accepted to IEEE/ASME AIM 2026.
2026
The lift-equipped mobile manipulator paper was accepted to IEEE/ASME AIM 2026.
2026
The local delivery robot system paper was accepted to IEEE CASE 2026.
2026
The CEBO manuscript was resubmitted to Advanced Engineering Informatics after minor revision.
2025
Selected for the NRF Master's Student Research Grant as an individual research project.

selected publications

KALO: Kangaroo-LocoManipulation for Early Launch Acceleration in a Wheel-Legged Robot
IEEE/ASME AIM 2026, accepted.
A Lift-Equipped Mobile Manipulator Platform for Shelf Transfer in Multi-Level Rack Environments
IEEE/ASME AIM 2026, accepted.
Design and Implementation of a Local Delivery Robot System: A Reinforcement Learning Approach
IEEE CASE 2026, accepted.
Clustering-enhanced Bayesian optimization (CEBO): A case study on T-pedal wheel design of a stair-climbing robot
Advanced Engineering Informatics, revised manuscript resubmitted after minor revision.