Lesley-Ann Duflot

Centre National de la Recherche Scientifique, Université de franche-comté, Université de Rennes

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About

Lesley-Ann Duflot is a leading researcher at the intersection of medical robotics and advanced image processing, whose pioneering work has redefined how robotic systems interact with complex medical imagery. Her primary research focuses on visual servoing—closed-loop robotic control guided by visual feedback—with a particular emphasis on non-conventional imaging modalities. Duflot’s major contribution lies in replacing traditional geometric features (like points and lines) with wavelet and shearlet coefficients as control inputs, enabling robust robot guidance even from noisy, low-contrast images. Her most cited work, “Wavelet and shearlet-based image representations for visual servoing” (31 citations), established this paradigm, while subsequent papers extended the approach to ultrasound and Optical Coherence Tomography (OCT) images for robot-assisted medical applications. Notably, she demonstrated the first 6-DOF controller using shearlet coefficients from ultrasound images and validated her photometric-based methods against conventional techniques. With over 58 citations across her key publications, Duflot’s innovations are critical for advancing autonomous surgical assistance, where precise, real-time visual feedback from challenging imaging sources is essential. Her work bridges computer vision and medical robotics, offering a powerful toolkit for next-generation image-guided interventions.