Mahmood Ali Moqbel Obaid
Papers
3
Total Citations
25
H-Index
3
About
Mahmood Ali Moqbel Obaid is a control systems researcher whose work centers on the intelligent control of autonomous mobile robotic systems. His research focuses on developing advanced trajectory tracking methodologies for nonholonomic wheeled mobile robots (WMRs), with particular emphasis on robustness against real-world challenges such as external disturbances and parameter uncertainties. Obaid has made notable contributions through his development of robust backstepping control frameworks integrated with nonlinear disturbance observers (NDOB) and fuzzy logic systems, enabling more reliable and precise robot navigation under uncertain conditions. His 2016 work on this combined approach has garnered nearly 20 citations across multiple venues, reflecting meaningful community interest in practical robotic control solutions. Building on this foundation, his 2017 research introduced time-varying backstepping tracking controllers that specifically address transient performance limitations inherent in standard backstepping schemes, demonstrating a systematic evolution in his methodological approach. Obaid's body of work contributes to the broader field of intelligent robotics, offering engineers and researchers practical frameworks for designing controllers capable of handling the complex, dynamic environments encountered in real-world autonomous robot deployment.
Research Focus
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Top Papers
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