4 citations · 6 across the 3 of their papers we have counts for
5 papers
Learning control strategy in soft robotics through a set of configuration spaces
Etienne Ménager, Christian Duriez
The ability of a soft robot to perform specific tasks is determined by its contact configuration, and transitioning between configurations is often necessary to reach a desired pos…
Multi-tap Resistive Sensing and FEM Modeling enables Shape and Force Estimation in Soft Robots
Sizhe Tian, Barnabas Gavin Cangan, Stefan Escaida Navarro +3
We address the challenge of reliable and accurate proprioception in soft robots, specifically those with tight packaging constraints and relying only on internally embedded sensors…
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…
Realistic Haptic Rendering of Interacting Deformable Objects in Virtual Environments
Christian Duriez, Frédéric Dubois, Abderrahmane Kheddar +1
A new computer haptics algorithm to be used in general interactive manipulations of deformable virtual objects is presented. In multimodal interactive simulations, haptic feedback…