Software toolkit for modeling, simulation and control of soft robots

Eulalie Coevoet 1 Thor Morales-Bieze 1 Frederick Largilliere 1 Zhongkai Zhang 1 Maxime Thieffry 1 Mario Sanz-Lopez 1 Bruno Carrez 1 Damien Marchal 1 Olivier Goury 1 Jeremie Dequidt 1 Christian Duriez 1
1 DEFROST - Deformable Robots Simulation Team
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : The technological differences between traditional robotics and soft robotics have an impact on all of the modeling tools generally in use, including direct kinematics and inverse models, Jacobians, and dynamics. Due to the lack of precise modeling and control methods for soft robots, the promising concepts of using such design for complex applications (medicine, assistance, domestic robotics...) cannot be practically implemented. This paper presents a first unified software framework dedicated to modeling, simulation and control of soft robots. The framework relies on continuum mechanics for modeling the robotic parts and boundary conditions like actuators or contacts using a unified representation based on Lagrange multipliers. It enables the digital robot to be simulated in its environment using a direct model. The model can also be inverted online using an optimization-based method which allows to control the physical robots in the task space. To demonstrate the effectiveness of the approach, we present various soft robots scenarios including ones where the robot is interacting with its environment. The software has been built on top of SOFA, an open-source framework for deformable online simulation and is available at
Type de document :
Article dans une revue
Advanced Robotics, Taylor & Francis, 2017, pp.1-26
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Soumis le : lundi 27 novembre 2017 - 14:37:17
Dernière modification le : vendredi 15 février 2019 - 14:19:43


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  • HAL Id : hal-01649355, version 1


Eulalie Coevoet, Thor Morales-Bieze, Frederick Largilliere, Zhongkai Zhang, Maxime Thieffry, et al.. Software toolkit for modeling, simulation and control of soft robots. Advanced Robotics, Taylor & Francis, 2017, pp.1-26. 〈hal-01649355〉



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