In this paper, we present a novel pipeline to simultaneously estimate and manipulate the deformation of an object using only force sensing and an FEM model. The pipeline is composed of a sensor model, a deformation model and a pose controller. The sensor model computes the contact forces that are used as input to the deformation model which updates the volumetric mesh of a manipulated object. The controller then deforms the object such that a given pose on the mesh reaches a desired pose. The proposed approach is thoroughly evaluated in real experiments using a robot manipulator and a force-torque sensor to show its accuracy in estimating and manipulating deformations without the use of vision sensors.
Blind Manipulation of Deformable Objects Based on Force Sensing and Finite Element Modeling.
基于力传感和有限元建模的可变形物体盲操作
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作者:Sanchez Jose, Mohy El Dine Kamal, Corrales Juan Antonio, Bouzgarrou Belhassen-Chedli, Mezouar Youcef
| 期刊: | Frontiers in Robotics and AI | 影响因子: | 3.000 |
| 时间: | 2020 | 起止号: | 2020 Jun 9; 7:73 |
| doi: | 10.3389/frobt.2020.00073 | ||
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