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Constraint-based simulation of passive suction cups
A. Bernardin, E. Coevoet, P.G. Kry, S. Andrews, C. Duriez, and M. Marchal
TOG (Proc. SIGGRAPH Asia) 2022
In this paper, we propose a physics-based model of suction phenomenon to achieve simulation of deformable objects like suction cups. Our model uses a constraint-based formulation to simulate the variations of pressure inside suction cups. The respective internal pressures are represented as pressure constraints which are coupled with anti-interpenetration and friction constraints. Furthermore, our method is able to detect multiple air cavities using information from collision detection. We solve the pressure constraints based on the ideal gas law while considering several cavity states. [ACM]
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Planning of soft-rigid hybrid arms in contact with compliant environment: application to the transrectal biopsy of the prostate
E. Coevoet, Y. Adagolodjo, M. Lin, C. Duriez, and F. Ficuciello
RA-Letter (Proc. RoboSoft) 2022
In this study, a rigid robot is hybridized with a soft part to improve its properties of relative positioning and safe interaction. While the design of the device is quite simple, the kinematics, on the other hand, becomes complex. Pre-operative planning of such a robot is a challenge that is faced in this paper. The clinical context is the automation of transrectal prostate biopsy: a robot is connected to a thin ultrasound (US) probe instrumented with a needle through a flexible silicone part. The procedure consists of: moving the probe near the prostate through the rectum, aligning the probe with identified lesions in the prostate, and shooting the needle to collect tissue samples. In this paper we demonstrate in simulation the feasibility of our methods to solve the planning of the entire procedure. [IEEE][VIDEO]
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Inverse kinematics of soft robots in their environment.
E. Coevoet
Techniques de l’ingénieur 2021
In opposition to traditional rigid robots, soft robots are built from highly compliant materials, which makes them safe for manipulating/interacting with sensitive environment. The field of soft robotics brings new challenges, in particular for modeling and control. Within this document we detail the methods we propose to answer them. The methods are based on the finite element methods to capture the deformations of the robot’s structure, and of its environment when deformable, and we formulate the problem of their inverse kinematics as an optimization program. The methods are tested on different case studies, in simulation, as well as on a real robot. [LINK]
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Distant collision response in rigid body simulation.
E. Coevoet, S. Andrews, D. Relles, and P.G. Kry
SCA 2020
We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a plausible elastic collision response between distant objects due to vibration. We start with a generalized eigenvalue decomposition of the elastic model to precompute a response to an impact at any point on an elastic object with fixed boundary conditions. Then, given a collision between objects, we generate an approximate response impulse to distribute to other objects already in contact with the colliding bodies. This can lead to distant impacts causing an object to slip, or a delicate stack of objects to fall. [PDF] [VIDEO] [PAGE]
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Adaptive merging for rigid body simulation.
E. Coevoet, O. Benchekroun, and P.G. Kry
SIGGRAPH 2020
We reduce computation time in rigid body simulations by merging collections of bodies when they share a common spatial velocity. Merging relies on monitoring the state of contacts, and a metric that compares the relative linear and angular motion of bodies based on their sizes. Unmerging relies on an inexpensive single iteration projected Gauss-Seidel sweep over contacts between merged bodies, which lets us update internal contact forces over time, and use the same metrics as merging to identify when bodies should unmerge. [PDF] [ACM] [VIDEO] [GITHUB PAGE]
Soft robots locomotion and manipulation control using FEM
simulation and quadratic programming.
E. Coevoet, A. Escande, and C. Duriez
RoboSoft 2019
In this paper, we propose a method to control the motion of soft robots able to manipulate objects or roll from one place to another. We use the Finite Element Method (FEM) to simulate the deformations of the soft robot, its actuators, and surroundings when deformable. To find the inverse model of the robot interacting with obstacles, and with constraints on its actuators, we write the problem as a quadratic program with complementarity constraints. The novelty of this work is that friction contacts (sticking contact only) are taken into account in the optimization process, allowing the control of these specific tasks that are locomotion and manipulation. [PDF] [VIDEO]
Optimization-based inverse model of soft robots with contact handling.
Commitee: François Chaumette (Chair), Jamie Paik (Reviewer), Nicolas Mansard (Reviewer), Allison Okamura (Examiner), Hadrien Courtecuisse (Examiner), Adrien Escande (Examiner), Christian Duriez (Supervisor)
Ph.D Thesis 2019 ★ Best thesis award CNRS GDR Robotique
Soft robotics draws its inspiration from nature, from the way living organisms move and adapt their shape to their environment. In opposition to traditional rigid robots, soft robots are built from highly compliant materials, allowing them to accomplish tasks with more flexibility and adaptability. They are safer when working in fragile environment. They have the advantages of producing low forces that are suitable for manipulating/interacting with sensitive objects/surroundings without harming them. These characteristics allow for potential use of soft robotics in the fields of manufacturing and medicine. The field of soft robotics brings new challenges, in particular for modeling and control. Within this thesis we aim at providing generic methods for soft robot modeling. [LINK] [PDF] [GITHUB]
FEM-based deformation control for dexterous manipulation of 3D soft objects.
F. Ficuciello, A. Migliozzi, E. Coevoet, A. Petit, and C. Duriez
IROS 2018
In this paper, a method for dexterous manipulation of 3D soft objects for real-time deformation control is presented, relying on Finite Element modelling. The goal is to generate proper forces on the fingertips of an anthropomorphic device during in-hand manipulation to produce desired displacements of selected control points on the object. The desired motions of the fingers are computed in real-time as an inverse solution of a Finite Element Method (FEM), the forces applied by the fingertips at the contact points being modeled by Lagrange multipliers. The elasticity parameters of the model are preliminary estimated using a vision system and a force sensor. Experimental results are shown with an under-actuated anthropomorphic hand that performs a manipulation task on a soft cylindrical object. [PDF]
Software toolkit for modeling, simulation and control of soft robots.
E. Coevoet, T. Morales-Bieze, F. Largilliere et. al
Advanced Robotics 2017 ★ Best paper award
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. [LINK] [PDF] [GITHUB]
Optimization-based inverse model of soft robots with contact handling.
E. Coevoet, A. Escande, and C. Duriez
RA-Letter (Proc. ICRA) 2017
This paper presents a physically-based algorithm to interactively simulate and control the motion of soft robots interacting with their environment. We use the Finite Element Method (FEM) to simulate the non-linear deformation of the soft structure, its actuators, and surroundings, and propose a control method relying on a quadratic optimization to find the inverse of the model. The novelty of this work is that the deformations due to contacts, including self-collisions, are taken into account in the optimization process. [VIDEO] [PDF] [IEEE]
Real-time simulation of hydraulic components for interactive control of soft robots.
A. Rodrìguez, E. Coevoet, and C. Duriez
ICRA 2017
In this work we propose a new method for online motion planning in the task-space for hydraulic actuated soft robots. Our solution relies on the interactive resolution of an inverse kinematics problem, that takes into account the properties (mass, stiffness) of the deformable material used to build the robot. An accurate modeling of the mechanical behavior of hydraulic components is based on a novel GPU parallel method for the real-time computation of fluid weight distribution. [PDF]
Framework for online simulation of soft robots with optimization-based inverse model.
C. Duriez, E. Coevoet, F. Largilliere, et. al
SIMPAR 2016 – ★ Best paper finalist
Soft robotics is an emerging field of robotics which requires computer-aided tools to simulate soft robots and provide models for their control. Until now, no unified software framework covering the different aspects exists. In this paper, we present such a framework from its theoretical foundations up to its implementation on top of SOFA, an open-source framework for deformable online simulation. [PDF] [IEEE] [GITHUB]
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Registration by interactive inverse simulation: application for adaptive radiotherapy.
E. Coevoet, N. Reynaert, L. Schiappacasse, J. Dequidt, and C. Duriez
IJCARS 2015
Purpose. This paper introduces a new methodology for semi-automatic registration of anatomical structure deformations. The contribution is to use an interactive inverse simulation of physics-based deformable model, computed in real-time.
Methods. The method relies on non-linear Finite Element Method (FEM) within a constraint-based framework. Given a set of few registered points provided by the user, a real-time optimization adapts the boundary conditions and(/or) some parameters of the FEM in order to obtain the adequate geometrical deformations. [PDF] [SPINGER]
Vascular neurosurgery simulation with bimanual haptic feedback.
J. Dequidt, E. Coevoet, L. Thines, and C. Duriez
VRIPHYS 2015
Virtual surgical simulators face many computational challenges: they need to provide biophysical accuracy, realistic feed-backs and high-rate responses. Better biophysical accuracy and more realistic feed-backs (be they visual, haptic. . . ) induce more computational footprint. State-of-the-art approaches use high-performance hardware or find an acceptable trade-off between performance and accuracy to deliver interactive yet pedagogically relevant simulators. In this paper, we propose an interactive vascular neurosurgery simulator that provides bi-manual interaction with haptic feedback. [VIDEO] [PDF]
Real-time control of soft-robots using asynchronous finite element modeling.
F. Largillière, V. Verona, E. Coevoet, J. Dequidt, and C. Duriez
ICRA 2015
Finite Element analysis can provide accurate deformable 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. [PDF] [IEEE]
Introducing interactive inverse FEM simulation and its application for adaptive radiotherapy.
E. Coevoet, N. Reynaert, L. Schiappacasse, J. Dequidt, and C. Duriez
MICCAI 2014
We introduce a new methodology for semi-automatic deformable registration of anatomical structures, using interactive inverse simulations. The method relies on non-linear real-time Finite Element Method (FEM) within a constraint-based framework. Given a set of few registered points provided by the user, a real-time optimization adapts the boundary conditions and(/or) some parameters of the FEM in order to obtain the adequate geometrical deformations. [VIDEO] [PDF] [SPRINGER]
EULALIE#COEVOET 