Marie-Anne Bauda

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About

Marie-Anne Bauda is a leading researcher in autonomous mobile robotics and visual inspection systems, with a focus on enhancing safety and efficiency in aerospace and ground transportation. Her work centers on computer vision, real-time scene understanding, and non-destructive testing, particularly through the development of automated visual detection algorithms. Bauda made significant contributions to the French Air-Cobot project, where she pioneered automatic visual detection and verification of exterior aircraft elements, enabling a collaborative mobile robot to perform preflight maintenance checks with traceability. This work, cited 20 times, demonstrates her impact on improving aviation safety through robotics. She also advanced autonomous navigation with her research on real-time ground marking analysis for safe trajectories of mobile robots, achieving 9 citations for its critical role in lane detection and tracking for autonomous transportation. Bauda’s contributions are notable for their practical applications in real-time, accurate scene perception, directly supporting the deployment of autonomous systems in complex environments. Her achievements underscore her expertise in bridging visual perception and robotic autonomy, making her work essential for students and researchers exploring intelligent inspection and navigation technologies.