Paria Moradi
Papers
2
Total Citations
14
H-Index
2
About
Paria Moradi is a robotics researcher whose work focuses on the critical challenge of friction modeling and compensation in robotic manipulators. Her key research areas include nonlinear system identification, friction dynamics, and robust control strategies for industrial robots. Moradi’s major contributions center on extending the classic LuGre friction model to account for time-varying behaviors, enabling more accurate torque loss prediction in robot joints. In her 2022 papers, she developed a novel approach that combines nonlinear least-squares error estimation with sliding mode control compensation to identify and counteract friction in real time. Her work has garnered significant attention, with each of her most-cited papers accumulating 7 citations, demonstrating growing impact in the field of robotic control. By addressing the persistent problem of friction-induced inaccuracies in robotic arms, Moradi’s research has practical implications for improving precision in manufacturing, surgical robotics, and autonomous systems. Her innovative integration of online identification with robust compensation techniques represents a notable achievement, offering a pathway toward more reliable and efficient robotic operations in dynamic environments.
Research Focus
Key Achievements
Top Papers
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