Mohamed Boumehraz
Papers
9
Total Citations
78
H-Index
5
About
Dr. Mohamed Boumehraz is a leading researcher in intelligent robotic systems, with a primary focus on autonomous navigation, fuzzy logic control, and bio-potential measurement technologies. His most impactful work centers on developing sophisticated control architectures for mobile robots, where he has pioneered the integration of fuzzy logic, neural networks, and reinforcement learning to solve complex path planning and visual navigation challenges. His highly cited 2019 paper on mobile robot visual navigation using fuzzy logic and optical flow approaches (23 citations) demonstrates his expertise in combining computer vision with intelligent control. Dr. Boumehraz has made significant contributions to path following behavior, creating neuro-fuzzy controllers that enable robots to navigate autonomously without complete environmental modeling. His research extends to type-1 and type-2 fuzzy techniques for robotic systems, as well as quadrotor dynamics identification using NARX neural networks. Notably, he has also ventured into biomedical engineering, implementing a versatile bio-potential measurement system capable of capturing EEG, ECG, and EMG signals using high-precision analog front-end technology. With a publication record spanning over a decade, Dr. Boumehraz continues to advance the frontiers of intelligent robotics and biomedical instrumentation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Mobile Robot Path Planning Based on Optimized Fuzzy Logic Controllers18 citations · 2019
- 3
- 4Type-1 and Type-2 Fuzzy Techniques: Application to Robotic Systems6 citations · 2023
- 5
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- 7
- 8Implementation of a New Versatile Bio-Potential Measurement System3 citations · 2022
- 9