Tanguy Navez — accepted AI-conference papers

2023

An Open Source Design Optimization Toolbox Evaluated on a Soft Finger

Stefan Escaida Navarro, Tanguy Navez, Olivier Goury, Luis Molina, Christian Duriez

RA-L 2023

In this letter, we introduce a novel open source toolbox for design optimization in Soft Robotics. We consider that design optimization is an important trend in Soft Robotics that is changing the way in which designs will be shared and adopted. We evaluate this toolbox on the example of a cable-driv

Cited by 9 Source ↗code ↗Scholar ↗

2023

Direct and inverse modeling of soft robots by learning a condensed FEM model

Etienne Ménager, Tanguy Navez, Olivier Goury, Christian Duriez

ICRA 2023poster

The Finite Element Method (FEM) is a powerful modeling tool for predicting the behavior of soft robots. However, its use for control can be difficult for non-specialists of numerical computation: it requires an optimization of the computation to make it real-time. In this paper, we propose a learnin…

Cited by 7 Source ↗Scholar ↗