M. Djehaich

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

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About

M. Djehaich’s research centers on mobile robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM) and scan-matching techniques. Their major contributions lie in the implementation and refinement of Iterative Closest Point (ICP)-based SLAM methods, specifically adapted for non-holonomic, car-like, and bi-steerable mobile robots. In their most-cited work, “ICP-SLAM methods implementation on a bi-steerable mobile robot” (11 citations), Djehaich demonstrated how scan matching can robustly recover robot motion and form the backbone of localization and mapping systems. A further contribution, “SLAM-ICP with a Boolean method applied on a car-like robot” (4 citations), introduced a novel Boolean approach to enhance the efficiency and accuracy of scan matching for constrained vehicle platforms. These works are notable for addressing the practical challenges of deploying SLAM on robots with complex steering geometries, bridging the gap between theoretical algorithms and real-world implementation. Djehaich’s research has provided valuable insights for engineers and researchers working on autonomous navigation in structured environments, and their methods continue to inform the development of more reliable, real-time SLAM systems for specialized mobile robots.