Ragia I. Badr
Papers
2
Total Citations
46
H-Index
2
About
Ragia I. Badr is a control systems researcher whose work focuses on intelligent robotics and multi-agent coordination. Her primary research areas include robotic manipulator control, swarm optimization algorithms, and formation control for nonholonomic mobile robots. Badr’s most impactful contribution is her development of a novel PID tracking controller for 2-degree-of-freedom robotic manipulators, optimized using a dynamic inertia weight Artificial Bee Colony (ABC) algorithm. This work, published in 2017 and cited 31 times, addresses the complex coupling dynamics in robotic arms, offering a more efficient and adaptive control solution. She further advanced the field with a 2018 study on observer-based controllers for leader-follower formation in multiple nonholonomic mobile robots, which has garnered 15 citations. This research is significant for applications in autonomous vehicle platooning and cooperative robotics, where precise coordination without centralized control is critical. Badr’s work demonstrates a strong integration of bio-inspired optimization with real-time control systems, making her contributions valuable for students and researchers exploring intelligent automation and multi-robot systems.
Research Focus
Key Achievements
Top Papers
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