Khaled Nouri
Papers
8
Total Citations
203
H-Index
5
About
Khaled Nouri is a leading researcher in mobile robotics and intelligent control systems, whose work has garnered over 200 citations. His primary research areas include autonomous navigation, path planning, and robust control for robotic manipulators and mobile robots. Nouri’s most impactful contribution is his 2019 paper on an advanced potential field method, which solved the persistent local minimum and GNRON problems in mobile robot path planning—a breakthrough that has earned 100 citations. He further advanced the field with a 2021 study on adaptive sliding mode control for nonholonomic robots, achieving 32 citations by addressing nonlinear dynamics and external disturbances. His recent work extends to energy-aware sensor fusion for autonomous channel navigation and intelligent thermal feedback for electric motor protection in embedded systems, showcasing his versatility. Nouri also developed an optimized sliding mode controller using the Cuckoo Search algorithm for two-degree-of-freedom robot manipulators, demonstrating his commitment to integrating bio-inspired optimization with control theory. His research consistently bridges theoretical rigor with practical applications, making him a key figure in advancing autonomous robotics and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1An advanced potential field method proposed for mobile robot path planning100 citations · 2019
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- 3Path planning for autonomous mobile robot using the Potential Field method28 citations · 2017
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