Papers
8
Total Citations
120
H-Index
6
About
Daegyu Lee is a robotics and autonomous systems researcher whose work spans mobile robotics, autonomous navigation, and intelligent vehicle systems. Best known for his contributions to real-world robot deployment, Lee has pioneered practical solutions for delivery robotics in complex environments. His landmark 2021 paper on assistive postal delivery robots (59 citations) addressed the critical challenge of GPS-denied localization in urban apartment complexes using 3D point cloud map-based matching — a significant step toward commercially viable autonomous delivery. He expanded this foundation with work on multi-floor indoor delivery robots (29 citations), tackling the distinct engineering challenges of elevator navigation and vertical mobility for wheeled platforms. Beyond delivery robotics, Lee has demonstrated remarkable breadth through contributions to mobile manipulation, developing adaptive position-force control combined with reinforcement learning for door-opening tasks. His involvement with Team KAIST at the Indy Autonomous Challenge further highlights his expertise in high-performance autonomous driving under extreme conditions, where perception, planning, and control are pushed to their limits. His research on 3D precision mapping and localization (2022) underpins many of these achievements. With over 120 cumulative citations and contributions spanning logistics robotics, indoor navigation, and autonomous racing, Lee represents a dynamic voice in applied autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Assistive Delivery Robot Application for Real-World Postal Services59 citations · 2021
- 2Development of an Indoor Delivery Mobile Robot for a Multi-Floor Environment29 citations · 2024
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