Asma Chaouch
Papers
1
Total Citations
2
H-Index
1
About
Asma Chaouch is a researcher in robotics and sensor data fusion, with a focus on enhancing the precision and reliability of manipulator systems. Her work centers on the development and comparison of advanced filtering techniques for inertial measurement unit (IMU)-based joint angle monitoring in serial manipulators, a critical area for improving robotic control and feedback in industrial and medical applications. Her most-cited paper, "IMU Based Serial Manipulator Joint Angle Monitoring: Comparison of Complementary and Double Stage Kalman Filter Data Fusion" (2022), provides a rigorous evaluation of data fusion methods, demonstrating how double-stage Kalman filters can outperform complementary filters in reducing estimation errors. This contribution offers practical insights for engineers seeking to optimize real-time motion tracking in constrained environments. While her citation count is still growing, Chaouch’s work lays important groundwork for more accurate and robust robotic systems, and her comparative methodology serves as a valuable reference for students and researchers exploring sensor integration and state estimation in robotics.
Research Focus
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Top Papers
- 1