Yunha Lee
Papers
3
Total Citations
8
H-Index
2
About
Yunha Lee’s research focuses on multi-robot systems, sensor-based estimation, and formation control, with an emphasis on low-cost, communication-free approaches for mobile robotics. Her major contributions include developing robust bearing angle error (BAE) estimation methods for one-axis gimballed ultrasonic seekers—a cost-effective sensing solution for target tracking and navigation. By modeling the relative motion between robots as a linear state-space equation, she enabled accurate bearing estimation even under challenging conditions, advancing the practicality of ultrasonic sensors in real-world applications. Her work on leader-follower formation control without communication links is particularly notable, as it addresses a key challenge in multi-robot coordination: achieving stable formation using only onboard sensing, eliminating the need for inter-robot data exchange. This approach enhances scalability and robustness in GPS-denied or communication-limited environments. While her citation counts (4, 2, and 2) reflect a developing impact, her contributions are foundational for low-cost, autonomous robot teams. Lee’s research bridges theory and application, offering practical solutions for swarm robotics, search-and-rescue, and industrial automation.
Research Focus
Key Achievements
Top Papers
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