Ibrahim Mansour

Centre de Développement des Technologies Avancées

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About

Ibrahim Mansour is a researcher specializing in intelligent mobile robotics, autonomous navigation, and soft-computing methodologies. His work centers on developing sophisticated control systems that enable mobile robots to operate effectively in dynamic, real-world environments. Mansour is perhaps best known for his research on the Robucar, a bi-steerable mobile robot platform, for which he designed and implemented advanced navigation frameworks combining Neural Networks and Fuzzy Logic to achieve autonomous obstacle avoidance, target localization, and intelligent decision-making. His 2011 paper on neural network and fuzzy logic navigation, which has garnered 7 citations, demonstrated that hybrid intelligent paradigms could meaningfully enhance robotic autonomy. Building on this foundation, his 2013 follow-up work on soft-computing-based navigation — cited 6 times — extended these principles further, reinforcing the practical viability of soft-computing approaches for real-world robotic platforms. Together, these contributions reflect a sustained commitment to bridging theoretical AI techniques with applied robotics engineering. For students and researchers working at the intersection of computational intelligence and autonomous systems, Mansour's work offers a valuable reference point for understanding how hybrid soft-computing architectures can be leveraged to solve complex navigation challenges in mobile robotics.