Rafiq Sekkal

Institut National des Sciences Appliquées de Rennes, Institut de Recherche en Informatique et Systèmes Aléatoires

Papers

Total Citations

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About

Rafiq Sekkal is a researcher specializing in autonomous navigation, computer vision, and assistive robotics, with a particular focus on enabling intelligent mobility for individuals with disabilities. His most impactful work centers on developing vision-based navigation systems that operate without prior environmental knowledge, a critical advancement for real-world deployment. Sekkal’s landmark paper, “Corridor Following Wheelchair by Visual Servoing” (2013, 21 citations), introduces an autonomous wheelchair framework that uses a single camera and image-based control to navigate corridors, eliminating the need for complex pose estimation. Complementing this, his work on “Simple Monocular Door Detection and Tracking” (2013, 20 citations) addresses landmark extraction for indoor localization, further enhancing autonomous navigation in structured environments. Sekkal also contributed to 3D object pose detection using foreground/background segmentation (2015, 12 citations), tackling the challenge of localizing poorly textured objects. Collectively, his research has garnered over 50 citations, demonstrating its influence in assistive robotics and computer vision. Sekkal’s contributions are particularly notable for their practical, low-cost approach to autonomous wheelchair navigation, directly improving accessibility and independence for users.