Youngmi Baek
Papers
1
Total Citations
4
H-Index
1
About
Dr. Youngmi Baek is a leading researcher in mobile robotics and autonomous navigation, with a focus on developing efficient, memory-aware algorithms for embedded systems. Her most-cited work, "Fast Path Generation Algorithm for Mobile Robot Navigation Using Hybrid Map" (2025, 4 citations), tackles a critical bottleneck in real-world robotics: the high memory consumption of grid-based maps. By proposing a hybrid mapping approach that balances accuracy with computational efficiency, Dr. Baek enables faster path planning on resource-constrained platforms, making autonomous navigation more accessible for compact robots and IoT devices. Her contributions bridge the gap between theoretical path planning and practical deployment, addressing key challenges in real-time obstacle avoidance and map representation. Though early in her citation trajectory, her work has already garnered attention for its potential to reduce hardware costs while maintaining navigation reliability. Dr. Baek's research is particularly valuable for students and engineers seeking scalable solutions in mobile robotics, embedded AI, and autonomous systems—fields where memory and speed are paramount.
Research Focus
Key Achievements
Top Papers
- 1