Hela Ben Said
Papers
2
Total Citations
15
H-Index
2
About
Hela Ben Said is a robotics researcher whose work focuses on visual servoing and autonomous navigation in unknown environments. Her key contributions lie at the intersection of computer vision and mobile robotics, particularly in leveraging the Generalized Voronoi Diagram (GVD) as a robust environmental representation for safe robot motion. In her most-cited work, "Visual Servoing on the Generalized Voronoi Diagram Using an Omnidirectional Camera" (2018, 9 citations), she pioneered a method that explicitly extracts the GVD in real-time to define collision-free paths at maximal distance from obstacles—a significant step beyond implicit safety strategies. Her subsequent paper, "Skeleton-Based Visual Servoing in Unknown Environments" (2018, 6 citations), further advanced this framework by integrating skeleton-based visual servoing, enabling robots to navigate unfamiliar spaces without prior maps. Though early in her career, Ben Said’s work has already influenced the field of autonomous navigation by providing a principled, vision-driven approach to safe path planning. Her research is particularly valuable for students and engineers developing robots that must operate reliably in cluttered, unstructured environments, offering a foundation for future work in real-time, sensor-based control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Skeleton-Based Visual Servoing in Unknown Environments6 citations · 2018