Papers
5
Total Citations
51
H-Index
3
About
Abdel-Razzak Merheb is a leading researcher in swarm robotics, specializing in bio-inspired navigation, formation control, and real-time collision avoidance. His most impactful work, "Implementation Studies of Robot Swarm Navigation Using Potential Functions and Panel Methods" (37 citations), introduces a novel algorithm that combines potential functions with inviscid incompressible flow theory—using panel methods to compute collision-free paths around complex obstacles. This approach has been extended to formation control, where potential functions generate attraction and repulsion forces to maintain predefined swarm geometries. Merheb’s research demonstrates remarkable breadth, applying these principles to critical real-world missions: a 3D navigation algorithm for medical micro-robot swarms navigating human blood vessels for targeted drug delivery and vascular treatments, and a tracked robot swarm designed for autonomous firefighting operations. His work bridges theoretical fluid dynamics with practical robotic systems, achieving real-time performance through laser-based obstacle detection and panel method calculations. With a publication record spanning from foundational algorithms to mission-specific applications, Merheb’s contributions are shaping the future of autonomous swarm intelligence in both industrial and medical domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5