Mostafa Yacoub
Papers
4
Total Citations
32
H-Index
3
About
Mostafa Yacoub is a robotics researcher whose work focuses on the energy efficiency and autonomous navigation of mobile robots, particularly in challenging off-road and three-dimensional environments. His major contributions center on developing predictive control algorithms to optimize energy consumption during complex maneuvers, such as climbing hills where DC motor torque saturation poses a significant difficulty. By addressing this critical bottleneck, Yacoub’s research helps extend the operational range and battery life of field robots used in agriculture, search-and-rescue, and exploration. His most cited paper, “Energy Consumption Optimization for Mobile Robots Motion Using Predictive Control” (2016), has garnered 19 citations, while his related 2013 studies on 3D motion and experimental validation further solidify his impact. Yacoub has also contributed to the experimental evaluation of the FastSLAM algorithm for unmanned ground vehicles, assessing computation cost trade-offs in real-world hardware. Through a combination of theoretical modeling and hands-on experimentation, he bridges the gap between algorithm design and practical deployment, offering valuable insights for researchers and engineers working to make autonomous systems more sustainable and robust in demanding terrains.
Research Focus
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Top Papers
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