Fatma Ali Saad Alwafi
Papers
2
Total Citations
4
H-Index
1
About
Fatma Ali Saad Alwafi is a robotics researcher whose work centers on advancing multi-robot motion planning, with a particular focus on graph-based algorithms for static environments. Her primary contributions lie in developing and evaluating a novel Multi-Robot Path Planning Algorithm (MRPPA) that synergistically combines the visibility graph (VG) method with algebraic connectivity—specifically the second smallest eigenvalue (λ₂) of the graph’s Laplacian—and Dijkstra’s algorithm. This innovative approach addresses the classic VG limitation of generating paths that graze obstacle vertices, instead producing safer, more practical routes while preserving optimal path lengths. Her most-cited work (2025, 3 citations) introduces this integrated framework, demonstrating significant improvements in multi-robot coordination and collision avoidance. Earlier foundational research (2022, 1 citation) established the VG-based methodology for multi-robot systems, laying the groundwork for her subsequent algorithmic refinements. Though early in her career, Alwafi’s work represents a meaningful step toward scalable, computationally efficient solutions for coordinating multiple robots in complex 2D workspaces—a critical challenge for applications in warehouse automation, search-and-rescue, and industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 2