Noura Beji
Papers
1
Total Citations
2
H-Index
1
About
Noura Beji is a researcher whose work lies at the intersection of artificial intelligence, metaheuristic optimization, and mobile robotics, with a particular focus on path planning. Her research addresses one of the most fundamental challenges in robotics: determining the shortest, collision-free trajectory from a starting point to a goal. Beji is best known for her comparative analysis of the Dhouib-Matrix-SPP algorithm against Particle Swarm Optimization (PSO) metaheuristics for grid-based path planning. In her 2026 study, which has already garnered 2 citations, she provides a rigorous computational time analysis that highlights the efficiency of the Dhouib-Matrix approach over traditional PSO methods. This work offers valuable insights into the trade-offs between computational speed and solution quality in real-time navigation systems. By systematically evaluating these algorithms, Beji contributes to the development of more efficient and reliable path planning strategies for autonomous mobile robots. Her research is particularly relevant for students and engineers seeking to understand the practical performance of different optimization techniques in constrained environments, making her a notable voice in the ongoing evolution of intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1