M.Sc Erna Apriliani
Papers
1
Total Citations
2
H-Index
1
About
M.Sc Erna Apriliani is a researcher focused on control systems and estimation theory, with a particular emphasis on mobile robotics and nonlinear dynamics. Her work centers on the application of advanced filtering techniques, notably the Ensemble Kalman Filter, for state estimation in complex robotic systems. Her most cited paper, "ESTIMASI POSISI ROBOT BERODA DUA DENGAN PENDULUM TERBALIK MENGGUNAKAN METODE ENSEMBLE KALMAN FILTER" (2012), addresses the critical challenge of position estimation for Two-Wheeled Inverted Pendulum Mobile Robots—a system that operates on the same balancing principles as an inverted pendulum. This research contributes to improving the accuracy and stability of such robots, which are essential for applications in autonomous navigation and dynamic balancing. Though her citation count is modest, her work represents a foundational step in applying probabilistic estimation methods to real-world robotic control problems, demonstrating the practical utility of the Ensemble Kalman Filter in nonlinear, unstable systems. Her research is particularly relevant for students and engineers exploring sensor fusion, state estimation, and the control of underactuated robots.
Research Focus
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Top Papers
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