El Mostafa El Adel
Université de Toulon, Centre National de la Recherche Scientifique
Papers
4
Total Citations
37
H-Index
3
About
El Mostafa El Adel is a researcher specializing in fault detection and isolation (FDI) for mobile robotic systems, with a particular focus on ensuring the reliability and safety of autonomous platforms. His work bridges model-based diagnostics, hardware redundancy, and advanced observer design to address one of robotics' most pressing challenges: identifying and isolating sensor and actuator failures before they compromise system performance. El Adel's most recognized contribution, cited 17 times, introduced a combined model-based and hardware redundancy framework for unicycle mobile robots, tackling drift-like faults in wheels and sensors with practical precision. He subsequently extended this expertise to more complex platforms, developing FDI methodologies for four-mecanum wheeled mobile robots (4-MWMRs) — omnidirectional systems notorious for their mechanical complexity. His 2020 work applied unknown input observers within a linear parameter varying (LPV) framework to detect even low-amplitude actuator faults, demonstrating sophisticated mathematical rigor. His 2021 research further explored how actuator health degradation directly impacts overall robot behavior, connecting diagnostics to real-world operational consequences. With a growing citation record across interconnected publications, El Adel has established himself as a focused contributor to intelligent fault-tolerant robotics, offering tools that enhance the dependability of next-generation autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
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