Intelligent Robotics for Defense Lab

Jeonbuk National University

We are the Intelligent Robotics for Defense Lab (IRDL) at Jeonbuk National University with Prof. Daegyu Lee. Our research focuses on developing intelligent autonomous systems for defense applications, spanning Spatial AI for environment perception and learning-based navigation, autonomous systems including Advanced Air Mobility (AAM), mobile robots, and autonomous vehicles, and RL-based adaptive control enabling robots to recover from failures and adapt across heterogeneous platforms.

Research Areas

We conduct research on intelligent robotic systems for defense, focusing on Spatial AI, Autonomous Systems, and RL-based Adaptive Control. Our lab is dedicated to bridging cutting-edge AI with real-world defense and aerospace challenges.

RL-based Adaptive Control

Fault-Tolerant Control

RL-based Recovery from Actuator/Sensor Failures
Adaptive Control under Partial System Loss
Resilient Flight & Locomotion Control

Cross-Morphology Adaptation

Generalized RL Policy for Heterogeneous Robots
Drones, Legged Robots & Wheeled Platforms
Sim-to-Real Transfer across Robot Configurations

Spatial AI

Spatial Perception & Understanding

3D Scene Reconstruction & Understanding
SLAM & State Estimation
Multi-modal Sensor Fusion

Learning-based Navigation

Deep RL for Autonomous Navigation
High-Speed & Competitive Driving
Real-world Field Evaluation

Autonomous Systems

Advanced Air Mobility (AAM)

eVTOL Path Planning & Control
Urban Air Traffic Management
Defense UAV Operations

유무인 복합 체계 (MUM-T)

Manned-Unmanned Teaming
Cooperative Multi-Robot Systems
Heterogeneous Robot Coordination

Indoor Drone & Robot Test Room

Location: Creative Building 2 (창조2관), JBNU
Status: Operational — Motion Capture System (Under Construction)

Our lab is equipped with a dedicated indoor test room for drone and ground robot experiments. The space supports controlled flight and locomotion experiments in a safe, repeatable environment. We are currently building a motion capture system to enable precise 6-DOF pose tracking, which will serve as a ground-truth infrastructure for evaluating autonomous navigation and control algorithms.