Arnaud Lelevé — accepted AI-conference papers

2019

Designing an Accurate and Customizable Epidural Anesthesia Haptic Simulator

Thibault sénac, Arnaud Lelevé, Richard Moreau, Laurent Krahenbuhl, Florent Sigwalt, Christian Bauert +1

ICRA 2019poster

Epidural anesthesia, despite being a relatively common medical procedure, remains quite demanding in terms of skills as it is mostly blind and thus heavily reliant on the haptic sensations. Although some training support solutions exist, anesthetists consider them mostly inefficient or impractical.…

Cited by 10 Source ↗Scholar ↗

2016

3D haptic rendering of tissues for epidural needle insertion using an electro-pneumatic 7 degrees of freedom device

Pierre-Jean Alès, Nicolas Herzig, Arnaud Lelevé, Richard Moreau, Christian Bauer

IROS 2016poster

Epidural anaesthesia is a medical gesture commonly performed by an anaesthesiologist. However, it remains one of the most difficult gestures to master for medical students. Given the lack of sufficiently realistic training devices available for future physicians, we propose a new haptic simulator wh…

Cited by 7 Source ↗Scholar ↗

2016

An energy based approach for passive dual-user haptic training systems

Fei Liu, Arnaud Lelevé, Damien Eberard, Tanneguy Redarce

IROS 2016poster

This paper introduces a new controller for dual-user training systems, designed by way of an energy based approach. Dual-user training systems are useful for supervised hands-on training when a trainer shows the right gestures to a trainee and where the forces to apply on the tools are difficult to…

Cited by 12 Source ↗Scholar ↗