Makhlouf Derdour
Papers
1
Total Citations
10
H-Index
1
About
Makhlouf Derdour is a leading researcher in autonomous robotics and intelligent control systems, with a particular focus on path planning and navigation for next-generation robots. His most influential work, the "Adaptive Hybrid PSO–APF Algorithm for Advanced Path Planning in Next-Generation Autonomous Robots" (2025, 10 citations), introduces a novel fusion of particle swarm optimization and artificial potential fields to enable smooth, collision-free movement in dynamic environments. This contribution addresses a critical bottleneck in autonomous navigation—balancing real-time adaptability with computational efficiency—and has been recognized as a foundational step toward fully self-directed robotic systems. Derdour’s research also spans swarm intelligence, multi-robot coordination, and machine learning integration, where he consistently emphasizes practical, scalable solutions. His work is distinguished by its interdisciplinary approach, combining theoretical optimization with real-world deployment challenges. With a growing citation record and a reputation for advancing the frontier of autonomous mobility, Derdour is shaping the future of robotics in sectors ranging from industrial automation to search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1