Jien-Yi Khaw
Papers
1
Total Citations
10
H-Index
1
About
Jien-Yi Khaw is a robotics researcher whose work focuses on state estimation and sensor fusion for aerial platforms, particularly in challenging conditions where traditional sensors fail. Their key research areas include simultaneous localization and mapping (SLAM), magnetometer-based attitude estimation, and robust navigation for flying LiDAR systems. Khaw’s major contribution is the development of "Flydar," a novel algorithm that uses sinusoidal magnetometer measurements from a continuously rotating airframe to estimate high angular rates during gyro saturation—a critical problem for drones operating in aggressive maneuvers or sensor-failure scenarios. This work, published in 2020, has garnered 10 citations, demonstrating its relevance to the robotics community. By enabling reliable SLAM even when gyroscopes are compromised, Khaw’s research advances the resilience of autonomous aerial robots. Their innovative approach to exploiting magnetic field data for motion estimation highlights a creative solution to a practical challenge, making their work notable for students and researchers interested in sensor fusion, fault-tolerant navigation, and real-world robotics applications.
Research Focus
Key Achievements
Top Papers
- 1