8 citations · 12 across the 4 of their papers we have counts for
4 papers
Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model
Etienne Ménager, Tanguy Navez, Paul Chaillou +3
The Finite Element Method (FEM) is a powerful modeling tool for predicting soft robots' behavior, but its computation time can limit practical applications. In this paper, a learni…
Toward the use of proxies for efficient learning manipulation and locomotion strategies on soft robots
Etienne Ménager, Quentin Peyron, Christian Duriez
Soft robots are naturally designed to perform safe interactions with their environment, like locomotion and manipulation. In the literature, there are now many concepts, often bio-…
Direct and inverse modeling of soft robots by learning a condensed FEM model
Etienne Ménager, Tanguy Navez, Olivier Goury +1
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 numeric…
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Yichang Wang, Rémi Emonet, Elisa Fromont +4
Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to thi…