Fatima Zahra Baghli
Abdelmalek Essaâdi University, Université Sultan Moulay Slimane
Papers
9
Total Citations
123
H-Index
6
About
Fatima Zahra Baghli is a robotics and control systems researcher whose work sits at the intersection of intelligent optimization, trajectory planning, and robotic manipulator control. Over the past decade, she has built a distinctive body of research focused on applying bio-inspired and soft computing techniques — particularly Ant Colony Optimization (ACO), fuzzy logic, and neuro-fuzzy systems — to solve complex challenges in robotic motion and control. Her most influential contributions include pioneering the application of Ant Colony Algorithm for optimal trajectory planning of arm manipulators in obstacle-rich environments (37 citations) and advancing the kinematic design analysis of parallel robots (25 citations). Her work on ACO-tuned PID controllers demonstrates a continued commitment to bridging classical control theory with modern optimization strategies, earning 16 citations since 2023. Earlier research on adaptive fuzzy PID and ANFIS-based controllers reflects her sustained interest in intelligent control architectures for multi-articulated systems. Baghli's cumulative citation impact — exceeding 120 across her published works — underscores her growing influence within the robotics research community. Her research offers practical frameworks for engineers designing more precise, responsive, and autonomously controlled robotic systems across industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis and Optimum Kinematic Design of a Parallel Robot25 citations · 2017
- 3
- 4
- 5
- 6
- 7
- 8
- 9Parametric Design Optimization of Two Link Robotic Manipulator3 citations · 2015