Oussama Boutalbi
Papers
8
Total Citations
43
H-Index
4
About
Oussama Boutalbi is a robotics and control systems researcher whose work spans mobile robot navigation, motion planning, and manipulator control. His research is distinguished by an innovative fusion of advanced mathematical frameworks — particularly differential flatness theory — with intelligent control techniques such as fuzzy logic and adaptive algorithms to address real-world challenges in autonomous robotics. Boutalbi's foundational contributions include robust flatness-based controllers for differentially driven wheeled mobile robots and a curvature-dependent decoupled planning approach for nonholonomic systems, works that earned 11 and 8 citations respectively and established him as a thoughtful contributor to mobile robot control theory. His 2021 adaptive finite-time stable control law for robot manipulators, which addresses unknown parameters and external disturbances using a state-dependent twisting algorithm, reflects his expanding expertise into articulated robotic arms and has garnered 10 citations. More recently, Boutalbi has pursued intelligent navigation strategies, developing dual fuzzy logic controllers, Type-2 fuzzy reactive navigation systems, and PSO-based global path planning approaches for cluttered environments. His growing body of work demonstrates a consistent commitment to bridging theoretical rigor with practical autonomous robot deployment, making his research increasingly relevant to students and engineers working at the intersection of control theory and robotics.
Research Focus
Key Achievements
Top Papers
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- 6A PSO-Based Global Path Planning Approach for Mobile Robots2 citations · 2024
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