Dorra Kallel
Papers
1
Total Citations
2
H-Index
1
About
Dorra Kallel is a researcher whose work lies at the intersection of computational intelligence and mobile robotics, with a particular focus on path planning and optimization. Her research explores how metaheuristic algorithms can solve complex navigation problems, comparing novel approaches like the Dhouib-Matrix-SPP with established methods such as Particle Swarm Optimization (PSO). In her most-cited work, "A Computational Time Analysis of Dhouib-Matrix-SPP versus Particle Swarm Optimization Metaheuristics for Grid-based Path Planning" (2026, 2 citations), Kallel addresses a fundamental challenge in robotics: determining the shortest feasible trajectory from a starting point to a goal while avoiding obstacles. This study provides critical insights into the computational efficiency of different optimization techniques for grid-based environments, offering a comparative analysis that helps researchers choose appropriate algorithms for real-time navigation systems. Her contributions are particularly valuable for advancing autonomous mobile robots, where efficient path planning is essential for safe and effective operation. Kallel’s work continues to influence the development of faster, more reliable navigation methods in dynamic environments.
Research Focus
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Top Papers
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