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Benoît Rosa

2 accepted papers

2021

Surgical Tool Segmentation Using Generative Adversarial Networks With Unpaired Training Data

RA-L 2021

Surgical tool segmentation is a challenging and crucial task for computer and robot-assisted surgery. Supervised learning approaches have shown great success for this task. However, they need a large number of paired training data. Based on Generative Adversarial Networks (GAN), unpaired image-to-im

Cited by 20SourceScholar
2020

Towards In Situ Backlash Estimation of Continuum Robots Using an Endoscopic Camera

RA-L 2020

Accurate control of continuum robots requires handling non-linear behaviors between actuators and distal effectors. In this letter, we develop a method for estimating the non-linearities of tendon-driven degrees of freedom of flexible endoscopic systems by using a distal endoscopic camera and encode

Cited by 15SourceScholar