Amina Makhlouf
Papers
1
Total Citations
7
H-Index
1
About
Dr. Amina Makhlouf is a leading figure in autonomous robotics, whose work is reshaping how mobile robots navigate complex, dynamic environments. Her primary research focuses on bio-inspired path planning and obstacle avoidance, where she has pioneered the fusion of swarm intelligence algorithms. Her most-cited work, "Enhanced Autonomous Mobile Robot Navigation Using a Hybrid BFO/PSO Algorithm for Dynamic Obstacle Avoidance" (2024, 7 citations), introduces a novel hybrid approach combining Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO). This breakthrough enables robots to compute safer, more efficient routes in real-time, overcoming the limitations of traditional static planners. By integrating these nature-inspired techniques, Dr. Makhlouf has significantly advanced the field of autonomous navigation, offering robust solutions for applications ranging from warehouse logistics to search-and-rescue missions. Her contributions are already shaping next-generation robotic systems, demonstrating how hybrid algorithms can bridge the gap between theoretical optimization and practical, real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1