Said Fadlo
Papers
4
Total Citations
10
H-Index
2
About
Said Fadlo’s research focuses on the intersection of mobile robotics, optimal control, and energy efficiency. His major contributions lie in developing advanced control strategies and accurate energy models for wheeled mobile robots, with a particular emphasis on differential drive systems. Fadlo’s most cited work, “Optimal trajectory tracking control for a wheeled mobile robot using backstepping technique” (2022, 4 citations), introduces a novel approach that minimizes energy consumption while ensuring precise path following, combining kinematic and dynamic actuator models. He has also pioneered the use of fuzzy logic controllers for energy performance analysis, demonstrating clear advantages over classical controllers in reducing power usage. Additionally, Fadlo has advanced physical modeling techniques using Simscape software, creating comprehensive multi-domain dynamic simulations that improve design adaptability and system realization. His cumulative work, with papers garnering citations from 2020 to 2022, establishes him as a key contributor to energy-aware robotics. Fadlo’s research is particularly valuable for students and engineers seeking to design more efficient, sustainable mobile robots for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 4Energy Modeling for a Differential Guide Mobile Robot Using Simscape2 citations · 2020