Ouarda Ibrahim

Papers

Total Citations

102

H-Index

About

Ouarda Ibrahim’s research centers on the dynamic modeling and control of complex robotic systems, with a particular focus on hybrid robots that combine serial and parallel architectures. Her major contributions lie in developing recursive algorithms for inverse and direct dynamic models of these hybrid structures, generalizing the classic Newton-Euler approach to accommodate robots built from serially connected parallel modules. This work is foundational for understanding the forces and motions in such systems, enabling more precise control and simulation. Her most cited paper, "Inverse and direct dynamic models of hybrid robots" (2010), has garnered 79 citations, reflecting its significance in the field. Notably, her 2007 paper on a 3-D hybrid eel-like robot applies these algorithms to bio-inspired underwater locomotion, demonstrating the practical reach of her theoretical work. By providing compact, recursive solutions for complex dynamics, Ibrahim has advanced the modeling of next-generation robots, from industrial manipulators to agile underwater vehicles, making her research essential for engineers tackling the challenges of hybrid robot design and control.