Literature DB >> 33501240

Blind Manipulation of Deformable Objects Based on Force Sensing and Finite Element Modeling.

Jose Sanchez1, Kamal Mohy El Dine1, Juan Antonio Corrales1, Belhassen-Chedli Bouzgarrou1, Youcef Mezouar1.   

Abstract

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.
Copyright © 2020 Sanchez, Mohy El Dine, Corrales, Bouzgarrou and Mezouar.

Entities:  

Keywords:  deformation servoing; finite-element modeling; force sensing; robotic manipulation; tactile sensing

Year:  2020        PMID: 33501240      PMCID: PMC7805691          DOI: 10.3389/frobt.2020.00073

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  1 in total

1.  Soft object deformation monitoring and learning for model-based robotic hand manipulation.

Authors:  Ana-Maria Cretu; Pierre Payeur; Emil M Petriu
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2011-12-27
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.