S. A. Agouri

University of Sheffield

Papers

8

Total Citations

27

H-Index

4

About

S. A. Agouri is a robotics and control systems researcher whose work centers on the design, modeling, and intelligent control of two-wheeled robotic vehicles — a class of systems that present formidable challenges in balance, stability, and maneuverability. Working primarily between 2012 and 2013, Agouri made notable contributions by developing novel robotic configurations, most distinctively a five-degree-of-freedom two-wheeled inverted pendulum vehicle capable of operating on inclined and irregular surfaces while managing a movable payload — a significant advancement over conventional designs. A recurring theme in Agouri's research is the application and optimization of fuzzy logic control, complemented by biologically and mathematically inspired optimization algorithms, including Bacterial Foraging Algorithms (BFA), Spiral Dynamic optimization, and the Hybrid Spiral Dynamic Bacterial Chemotaxis (HSDBC) approach. His comparative studies across these methods provide valuable benchmarks for the control engineering community. Agouri also demonstrated practical engineering rigor through real-time implementation of both fuzzy logic and PID controllers on embedded microcontroller platforms, bridging theoretical design with hardware deployment. His most cited work, a 2012 paper on fuzzy logic control with sensor fusion for tilt-angle estimation, has accumulated 7 citations, with his broader portfolio collectively reflecting a focused and productive research agenda in intelligent mobile robotics.

Research Focus

Key Achievements

4
H-Index
8
Papers
27
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and real-time implementation of a fuzzy logic control system for a two-wheeled robot
7 citations · 2012
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Sheffield

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago