Doaa Sami Khafaga
Papers
2
Total Citations
17
H-Index
2
About
Doaa Sami Khafaga is a researcher whose work sits at the intersection of autonomous robotics, intelligent control systems, and optimization algorithms. Her primary contributions focus on developing advanced computational methods for robotic navigation and manipulation in critical environments. Notably, her highly cited 2022 paper on "Route Planning for Autonomous Mobile Robots Using a Reinforcement Learning Algorithm" (11 citations) introduces a novel framework designed for high-stakes settings like hospitals and emergency response, where precise and timely delivery of medical supplies can directly impact human survival. This work demonstrates her commitment to applying AI to real-world, life-saving applications. More recently, in 2025, Khafaga has advanced the field of robotic control with her paper on "Modeling and PID tuning of a 3-DOF robotic manipulator using a novel Chaos-Artemisinin Optimizer" (6 citations), showcasing her ability to innovate in bio-inspired optimization for precise robotic actuation. Her research is characterized by a practical, problem-driven approach, making significant strides in making autonomous systems more reliable and effective in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 2