Abdelhamid Bounemeur
Papers
2
Total Citations
26
H-Index
2
About
Abdelhamid Bounemeur is a researcher whose work sits at the intersection of robotics, control theory, and intelligent systems. His primary contributions lie in developing robust and adaptive control strategies for complex robotic platforms, particularly under uncertain or faulty conditions. His most-cited work, "Indirect Robust Adaptive Fuzzy Control of Uncertain Two Link Robot Manipulator" (2016, 23 citations), introduced a novel approach that combines fuzzy logic with adaptive control to handle the inherent uncertainties in robotic manipulators—a foundational contribution that has informed subsequent research in the field. More recently, Bounemeur has advanced the application of model predictive control (MPC) for mobile robots, as demonstrated in his 2024 paper "A Constrained PSO Based Model Predictive Control for Mobile Robot System with Sensor Faults" (3 citations). This work integrates particle swarm optimization with MPC to maintain performance even when sensors fail, showcasing his commitment to real-world robustness. Through these contributions, Bounemeur has established himself as a methodical innovator, bridging theoretical control advances with practical robotic applications, and his work continues to inspire researchers tackling the challenges of autonomous systems in uncertain environments.
Research Focus
Key Achievements
Top Papers
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