Mohammed Nabil Kabbaj
Sidi Mohamed Ben Abdellah University, Euro-Mediterranean University of Fes
Papers
9
Total Citations
45
H-Index
4
About
Mohammed Nabil Kabbaj is a robotics and control systems researcher whose work spans rehabilitation robotics, fault detection and isolation, and Industry 4.0 technologies. His research is anchored in advancing the safety, reliability, and intelligence of robotic systems, with particular emphasis on manipulator robots and human-assistive devices. Kabbaj has made meaningful contributions to fault-tolerant control, developing sophisticated sliding mode observer-based techniques to detect, isolate, and compensate for both actuator and sensor faults in robot manipulators — a critical challenge as industrial robots operate in increasingly high-stakes environments. His work on higher-order sliding mode observers has attracted notable attention, accumulating citations across multiple publications since 2018. Beyond fault diagnostics, Kabbaj has explored rehabilitation robotics, presenting a cable-driven lower limb rehabilitation robot with rigorous kinematic and dynamic analysis. His 2019 paper on cloud robotics and Industry 4.0, his most cited work, reflects a forward-looking perspective on how networked intelligence can transform manufacturing. More recently, he has investigated digital twin technology for manipulator control, positioning his research at the intersection of cyber-physical systems and advanced robotics — making his body of work highly relevant to students navigating the evolving landscape of smart automation.
Research Focus
Key Achievements
Top Papers
- 1Cloud Robotic: Opening a New Road to the Industry 4.014 citations · 2019
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- 7The Usefulness of Digital Twin in Manipulator Robot Control2 citations · 2023
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