Bassma Guermah
Papers
1
Total Citations
71
H-Index
1
About
Bassma Guermah is a leading researcher at the intersection of robotics, computer vision, and artificial intelligence. Her primary focus lies in advancing Visual Simultaneous Localization and Mapping (VSLAM) through the integration of deep learning, a field where she has made transformative contributions. Her highly cited 2023 survey, “Deep Learning Techniques for Visual SLAM: A Survey,” with 71 citations, is a seminal work that systematically maps the shift from labor-intensive, handcrafted VSLAM algorithms to modern, learning-based approaches. This paper not only synthesizes the state of the art but also identifies critical challenges and future directions, making it an essential resource for students and engineers alike. By bridging traditional robotics with cutting-edge AI, Guermah’s research enables more robust and autonomous navigation for robots, drones, and augmented reality systems. Her work stands out for its clarity and impact, providing a foundational roadmap that accelerates progress in intelligent spatial perception. For any researcher exploring how deep learning can revolutionize robot autonomy, Guermah’s contributions are indispensable.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Techniques for Visual SLAM: A Survey71 citations · 2023