Moustafa Sadek Kahil
Papers
1
Total Citations
10
H-Index
1
About
Dr. Moustafa Sadek Kahil is a leading researcher in autonomous robotics and intelligent control systems, with a primary focus on advanced path planning and navigation algorithms. His most-cited work, "Adaptive Hybrid PSO–APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots" (2025), has already garnered 10 citations, reflecting its immediate impact on the field. In this seminal paper, Dr. Kahil introduces a novel hybrid approach combining Particle Swarm Optimization (PSO) with Artificial Potential Fields (APF) to enable smooth, collision-free navigation for autonomous systems. His major contribution lies in addressing the critical challenge of real-time, adaptive path planning without direct human intervention—a cornerstone for next-generation robotics. Dr. Kahil's research bridges theoretical optimization techniques with practical robotic applications, offering scalable solutions for dynamic environments. His work is particularly notable for its potential to enhance the autonomy and safety of unmanned vehicles, drones, and service robots. As a rising authority in intelligent robotics, Dr. Kahil continues to shape the future of autonomous navigation, inspiring both students and researchers to explore hybrid algorithmic approaches for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1