El-Arkam Mechhoud
Papers
2
Total Citations
6
H-Index
2
About
El-Arkam Mechhoud’s research focuses on the intersection of intelligent robotics, multi-agent coordination, and advanced control systems, with a particular emphasis on safety and robustness in complex, risk-laden environments. His work addresses critical challenges in multi-robot navigation, where he investigates the complexities of coordinating and cooperating mobile robots in hazardous or poorly understood settings, such as industrial laboratories. His 2017 paper on this topic, which has garnered 3 citations, lays foundational insights into ensuring safe survey and control under significant risk. In parallel, Mechhoud has made notable contributions to precision control engineering, developing a multi-controller architecture that integrates conventional PID with robust fractional-order PID (FOPID) controllers. By employing a Particle Swarm Optimization (PSO) algorithm to fine-tune these controllers, he achieved enhanced robustness and performance, as demonstrated on a robotic wrist of the RX-90 Staübli robot. This work, also from 2017 and cited 3 times, exemplifies his ability to blend theoretical optimization with practical robotic applications. Mechhoud’s research is valuable for students and engineers seeking to understand how intelligent control strategies can mitigate risks and improve reliability in autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2