Khadidja Henni
Papers
1
Total Citations
8
H-Index
1
About
Khadidja Henni is a control systems researcher whose work focuses on advancing the motion planning and control of non-holonomic mobile robots. Her primary contributions lie in developing high-performance algorithms that integrate curvature-dependent decoupled planning with flatness-based control concepts, enabling more efficient and precise trajectory tracking for wheeled robots. Her most-cited paper, published in 2019, has garnered 8 citations, reflecting its niche but growing influence in the field of autonomous navigation. This work addresses fundamental challenges in non-holonomic system control, offering a decoupled approach that simplifies complex path-following tasks while maintaining robustness. Henni’s research bridges theoretical control theory with practical robotics applications, making her contributions valuable for students and engineers working on autonomous vehicles, service robots, or industrial automation. Her focus on flatness-based methods—a powerful tool for nonlinear systems—positions her work as a stepping stone for further innovations in real-time motion planning.
Research Focus
Key Achievements
Top Papers
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