Safaa H. Shwail
Papers
2
Total Citations
19
H-Index
2
About
Safaa H. Shwail is a researcher specializing in multi-robot path planning, with a particular focus on probabilistic and heuristic search algorithms for dynamic environments. Her major contributions lie in developing decoupled approaches that combine probabilistic roadmap (PRM) planners with A* search and genetic algorithms to solve the complex problem of coordinating multiple robots while avoiding static and dynamic obstacles. Her most cited work, “Probabilistic Multi Robot Path Planning in Dynamic Environments: A Comparison between A* and DFS” (2013, 12 citations), introduces a two-phase method that converts the workspace into a roadmap and then applies A* for optimal pathfinding. A follow-up study (2014, 7 citations) extends this by integrating genetic algorithms for further optimization. Shwail’s work is notable for its practical comparison of search strategies and its emphasis on real-time adaptability, making it valuable for applications in warehouse automation, autonomous vehicle coordination, and robotic swarm navigation. Her research provides foundational insights for students and engineers seeking efficient, scalable solutions in multi-agent systems.
Research Focus
Key Achievements
Top Papers
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