Elahe Mansury
Papers
2
Total Citations
15
H-Index
2
About
Elahe Mansury is a researcher specializing in robotics and optimization algorithms, with a particular focus on path planning for autonomous systems. Her work centers on enhancing the navigation capabilities of soccer robots, a domain where precise and efficient movement is critical for competitive performance. Mansury’s major contributions involve the application of nature-inspired optimization techniques—such as the Artificial Bee Colony (ABC) algorithm and Differential Evolution—to refine Ferguson spline-based trajectories, enabling smoother and more adaptive robot paths on the game field. Her most-cited paper, "Artificial Bee Colony optimization of ferguson splines for soccer robot path planning" (2013), has garnered 13 citations, underscoring its relevance in the field of mobile robotics and optimization. This work demonstrates how bio-inspired algorithms can solve complex spatial problems in real-time environments. Mansury’s research bridges computational intelligence and practical robotics, offering valuable insights for students and researchers interested in autonomous navigation, swarm intelligence, and sports robotics. Her contributions highlight the potential of hybrid approaches to improve robot agility and decision-making in dynamic settings.
Research Focus
Key Achievements
Top Papers
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- 2