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Anisotropic Soft Robots Based on 3D Printed Meso-Structured Materials: Design, Modeling by Homogenization and Simulation

Félix Vanneste, Olivier Goury, Jonàs Martínez, Sylvain Lefèbvre, Hervé Delingette, Christian Duriez

2020IEEE Robotics and Automation Letters32 citationsDOIOpen Access PDF

Abstract

In this letter, we propose to use new 3D-printed mesostructured materials to build soft robots and we present a modeling pipeline for design assistance and control. These meta-materials can be programmed before printing to target specific mechanical properties, in particular heterogeneous stiffness and anisotropic behaviour. Without changing the external shape, we show that using such meta-material can lead to a dramatic change in the kinematics of the robot. This highlights the importance of modeling. Therefore, to help the design and to control soft robots made of these meso-structured materials, we present a modeling method based on numerical homogenization and Finite Element Method (FEM) that captures the anisotropic deformations. The method is tested on a 3 axis parallel soft robot initially made of silicone. We demonstrate the change in kinematics when the robot is built with meso-structured materials and compare its behavior with modeling results.

Topics & Concepts

Homogenization (climate)Finite element methodRobotKinematicsMechanical engineeringAnisotropyComputer scienceStiffnessSoft materialsMaterials scienceMaterial DesignComposite materialEngineeringStructural engineeringNanotechnologyArtificial intelligencePhysicsQuantum mechanicsBiodiversityEcologyClassical mechanicsBiologyAdvanced Materials and MechanicsMicro and Nano RoboticsSoft Robotics and Applications
Anisotropic Soft Robots Based on 3D Printed Meso-Structured Materials: Design, Modeling by Homogenization and Simulation | Litcius