Nadjet Zioui
Papers
13
Total Citations
133
H-Index
7
About
Nadjet Zioui is at the forefront of a revolutionary convergence—applying quantum computing principles to solve classical robotics challenges. Her research focuses on quantum-inspired algorithms for kinematic and dynamic modeling, control systems, and parameter identification in robotic manipulators and mobile robots. Zioui’s most impactful contribution is her novel quantum model of forward kinematics, which leverages quaternion and Pauli gate equivalence to compute the position and orientation of a six-jointed industrial robotic arm (35 citations). She has also pioneered quantum-inspired sliding-mode control to enhance precision and energy efficiency in articulated robots (21 citations), and developed quantum neural network-based solutions for inverse kinematics and singularity avoidance. Her work on quantum particle swarm optimization for trajectory tracking and dynamic parameter identification further demonstrates her commitment to advancing robotic autonomy. With over 130 total citations across her publications, Zioui is establishing herself as a leading voice in quantum robotics, bridging the gap between theoretical quantum computing and practical robotic applications. Her research promises to unlock unprecedented levels of precision, efficiency, and computational power for next-generation autonomous systems.
Research Focus
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