Irene Esinam Beklisi Ayawli
Papers
1
Total Citations
6
H-Index
1
About
Dr. Irene Esinam Beklisi Ayawli is a leading researcher in mobile robotics, specializing in path-planning and autonomous navigation. Her work focuses on advancing global roadmap methods, particularly through comparative analyses of Voronoi diagrams, rapidly exploring random trees (RRT), and probabilistic roadmaps (PRM). Her most-cited paper, "Comparative analysis of popular mobile robot roadmap path-planning methods" (2025, 6 citations), provides critical insights into the strengths and limitations of these techniques, offering a foundational reference for researchers optimizing robot trajectories in complex environments. Dr. Ayawli’s contributions are pivotal for improving efficiency and safety in autonomous systems, with her analyses guiding the integration of these methods into real-world applications. Her work has garnered attention for its clarity and practical relevance, making her a respected voice in robotics. By systematically evaluating trade-offs between computational cost and path quality, she has helped shape best practices in mobile robot navigation. Dr. Ayawli’s research continues to inspire students and engineers seeking robust solutions for dynamic, obstacle-rich settings, solidifying her impact on the field.
Research Focus
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Top Papers
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