Samah Chattaoui
Papers
1
Total Citations
6
H-Index
1
About
Samah Chattaoui is a researcher focused on autonomous navigation and path planning for unmanned aerial vehicles (UAVs), with particular expertise in comparing heuristic search algorithms for complex 3D environments. Her most cited work, "Comparison of A* and D* Algorithms for 3D Path Planning of Unmanned Aerial Vehicles" (2023, 6 citations), addresses the critical challenge of finding optimal, collision-free trajectories for UAVs navigating through obstacle-dense airspace. This study systematically evaluates the performance of A* and D* algorithms in generating safe aerial waypoints, providing valuable insights for real-time mission planning. Chattaoui’s contributions are especially relevant to the growing field of autonomous drone operations, where efficient 3D path planning is essential for applications ranging from surveillance to delivery systems. Her work demonstrates a strong grasp of algorithmic trade-offs between optimality and computational efficiency, offering practical guidance for researchers and engineers developing next-generation UAV guidance systems. With her focus on solving real-world navigation problems, Chattaoui is establishing herself as a promising voice in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1