Safa Jameel Al-Kamil
Papers
2
Total Citations
61
H-Index
2
About
Safa Jameel Al-Kamil is a rising researcher in the fields of mechatronics, robotics, and intelligent navigation systems. Her work focuses on optimizing mobile robot path planning and trajectory control, leveraging both motion capture technology and advanced machine learning techniques to improve autonomous navigation in complex environments. Her most-cited paper, “Optimizing path planning in mobile robot systems using motion capture technology” (2024, 47 citations), demonstrates how integrating real-time motion data can significantly enhance robotic decision-making and efficiency. Building on this, her second highly cited work, “Enhancing Mobile Robot Navigation: Optimization of Trajectories through Machine Learning Techniques for Improved Path Planning Efficiency” (2024, 14 citations), introduces a novel hybrid approach combining supervised and unsupervised learning to boost communication and path efficiency in intelligent robots. Together, these contributions highlight Al-Kamil’s impact on the growing field of autonomous systems, offering practical solutions for safer, more adaptive robots in industrial and service applications. Her recent achievements underscore a promising trajectory in robotics research, with clear potential for real-world deployment.
Research Focus
Key Achievements
Top Papers
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