Towards a novel man-machine interface to speed up training on robot-assisted surgery

Abstract : New robotically-assisted minimally invasive surgery (RAMIS) systems make surgeries safer and reduce hospitalization time. Nevertheless, mastering the use of different surgical robotic tools requires demanding training and continuous practice as for an athlete. The final aim of our research is to shorten the training time for robotic surgery by developing a virtual mentor to provide haptic feedback. This paper presents a partial validation of a novel haptics device, designed to provide hand guidance (i.e., the device transmits commands to the user in order to direct his/her hand in the space).
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02105125
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Gustavo Gil, Julie Walker, Nabil Zemiti, Allison Okamura, Philippe Poignet. Towards a novel man-machine interface to speed up training on robot-assisted surgery. Surgetica, Jun 2019, Rennes, France. ⟨lirmm-02105125⟩

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