Saliha Oukid
Papers
1
Total Citations
4
H-Index
1
About
Saliha Oukid is a researcher whose work lies at the intersection of robotics, artificial intelligence, and intelligent control systems. Her primary research focuses on the development of autonomous mobile manipulators, particularly through the application of multi-agent systems and fuzzy logic control. In her notable 2013 paper, "Multi-Agent Fuzzy-Based Control Architecture for Autonomous Mobile Manipulators: Traditional Approaches and Multi-Agent Fuzzy-Based Approaches," Oukid proposed a novel framework that integrates distributed decision-making with fuzzy reasoning to enhance the adaptability and coordination of robotic agents in dynamic environments. This work has contributed to advancing the field of autonomous robotics by addressing key challenges in real-time control and multi-robot collaboration. While her citation count of 4 reflects a niche but foundational contribution, her research is particularly relevant for students and engineers exploring decentralized control architectures and soft computing methods in robotics. Oukid’s work exemplifies how hybrid approaches—combining multi-agent theory with fuzzy logic—can improve the robustness and flexibility of autonomous systems, offering a stepping stone for further innovations in intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1