Real-time Control of Soft-Robots using Asynchronous Finite Element Modeling

Frederick Largilliere 1, 2 Valerian Verona 1, 3 Eulalie Coevoet 1 Mario Sanz-Lopez 1 Jeremie Dequidt 1, 2 Christian Duriez 1, 2
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 : Finite Element analysis can provide accurate de-formable models for soft-robots. However, using such models is very difficult in a real-time system of control. In this paper, we introduce a generic solution that enables a high-rate control and that is compatible with strong real-time constraints. From a Finite Element analysis, computed at low rate, an inverse model of the robot outputs the setpoint values for the actuator in order to obtain a desired trajectory. This inverse problem uses a QP (quadratic-programming) algorithm based on the equations set by the Finite Element Method. To improve the update rate performances, we propose an asynchronous simulation framework that provides a better trade-off between the deformation accuracy and the computational burden. Complex computations such as accurate FEM deformations are done at low frequency while the control is performed at high frequency with strong real-time constraints. The two simulation loops (high frequency and low frequency loops) are mechanically coupled in order to guarantee mechanical accuracy of the system over time. Finally, the validity of the multi-rate simulation is discussed based on measurements of the evolution in the QP matrix and an experimental validation is conducted to validate the correctness of the high-rate inverse model on a real robot.
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Conference papers
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https://hal.inria.fr/hal-01163760
Contributor : Frédérick Largillière <>
Submitted on : Monday, June 15, 2015 - 2:40:26 PM
Last modification on : Friday, March 22, 2019 - 1:35:58 AM
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Frederick Largilliere, Valerian Verona, Eulalie Coevoet, Mario Sanz-Lopez, Jeremie Dequidt, et al.. Real-time Control of Soft-Robots using Asynchronous Finite Element Modeling. ICRA 2015, May 2015, SEATTLE, United States. pp.6. ⟨hal-01163760⟩

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