Nurul Dayana Salim
Papers
1
Total Citations
2
H-Index
1
About
Dr. Nurul Dayana Salim is a robotics researcher specializing in state estimation and sensor fusion for small-scale aerial robots. Her most cited work, "Real-Time Nonlinear Complementary Filter on SO(3) for Attitude Estimation of Small-Scale Aerial Robot" (2017), presents a powerful implementation of a nonlinear complementary filter operating on the special orthogonal group of rotation matrices. This approach fuses raw data from accelerometers, magnetometers, and gyroscopes to achieve reliable, real-time attitude estimation—a critical capability for agile drones and micro aerial vehicles. While her citation count is currently modest, the technical rigor of her filter design contributes to the broader field of robust, computationally efficient estimation for resource-constrained platforms. Her work bridges theoretical nonlinear control with practical embedded systems, offering a solution that balances accuracy and real-time performance. For students and researchers in aerial robotics, Dr. Salim’s contributions highlight the importance of mathematically grounded sensor fusion in enabling stable flight and autonomous navigation.
Research Focus
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Top Papers
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