Aline da C. Matheus
Papers
2
Total Citations
14
H-Index
2
About
Aline da C. Matheus is a researcher at the forefront of robotic flight simulation, specializing in motion cueing algorithms and human–machine interaction. Her work centers on enhancing the fidelity and safety of serial robotic flight simulators—a less-explored alternative to traditional parallel platforms. In her highly cited 2019 study, “Evaluation of the Pilot Perception in a Robotic Flight Simulator with and without a Linear Unit” (10 citations), she systematically assessed how pilots perceive motion cues, providing foundational insights into simulator design. Her more recent 2024 paper, “A Safety-Oriented Motion Cueing Algorithm for a Serial Robotic Flight Simulator Using a Predictive Neural Network Reference Governor” (4 citations), introduces a novel algorithm that leverages predictive neural networks to ensure safe, high-fidelity motion reproduction. This work addresses a critical gap in the literature, as most published studies focus on parallel motion platforms. By integrating safety constraints with advanced control strategies, Matheus is shaping the next generation of flight simulators, making them more accessible and realistic. Her contributions are vital for both aerospace training and human–robot interaction research, demonstrating a clear impact on the field.
Research Focus
Key Achievements
Top Papers
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