Mohamed W. Mehrez
Papers
14
Total Citations
358
H-Index
10
About
Mohamed W. Mehrez is a control systems researcher whose work sits at the intersection of model predictive control (MPC), mobile robotics, and multi-robot coordination. He is best known for his pioneering contributions to MPC frameworks that achieve stability for nonholonomic and holonomic mobile robots without requiring traditional stabilizing terminal constraints or costs — a significant theoretical advance that simplifies practical implementation while maintaining rigorous asymptotic stability guarantees. His 2015 paper on nonholonomic mobile robots, which has accumulated 117 citations, stands as his most influential work, introducing a tailored nonquadratic stage cost approach that reshaped how the community thinks about constrained robot control. Mehrez extended these ideas across continuous-time differential drive systems, path-following scenarios, and holonomic platforms, building a coherent and expansive research program. Beyond single-robot control, he has made notable contributions to multi-robot relative localization using moving horizon estimation and distributed MPC with occupancy grid representations, reducing communication overhead in cooperative systems. His 2021 multi-sensor fusion framework further demonstrates his breadth, addressing real-world localization challenges for autonomous vehicles. With over 300 cumulative citations, Mehrez's research has meaningfully advanced both the theoretical foundations and practical deployment of autonomous mobile robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Occupancy grid based distributed MPC for mobile robots16 citations · 2017
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