Literature DB >> 33501249

Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review.

Veronica E Arriola-Rios1, Puren Guler2, Fanny Ficuciello3, Danica Kragic4, Bruno Siciliano3, Jeremy L Wyatt5.   

Abstract

Manipulation of deformable objects has given rise to an important set of open problems in the field of robotics. Application areas include robotic surgery, household robotics, manufacturing, logistics, and agriculture, to name a few. Related research problems span modeling and estimation of an object's shape, estimation of an object's material properties, such as elasticity and plasticity, object tracking and state estimation during manipulation, and manipulation planning and control. In this survey article, we start by providing a tutorial on foundational aspects of models of shape and shape dynamics. We then use this as the basis for a review of existing work on learning and estimation of these models and on motion planning and control to achieve desired deformations. We also discuss potential future lines of work.
Copyright © 2020 Arriola-Rios, Guler, Ficuciello, Kragic, Siciliano and Wyatt.

Entities:  

Keywords:  control of deformable objects; deformable objects; learning of deformation; registration of shape deformation; shape representation; tracking of deformation

Year:  2020        PMID: 33501249      PMCID: PMC7805872          DOI: 10.3389/frobt.2020.00082

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


  15 in total

1.  Dynamical statistical shape priors for level set-based tracking.

Authors:  Daniel Cremers
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2006-08       Impact factor: 6.226

2.  Simulation of organ deformation using boundary element method and meshless shape matching.

Authors:  Bo Zhu; Lixu Gu; Jingsi Zhang; Zhennan Yan; Lei Pan; Qiang Zhao
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

3.  Learning the dynamics and time-recursive boundary detection of deformable objects.

Authors:  Walter Sun; Müjdat Cetin; Raymond Chan; Alan S Willsky
Journal:  IEEE Trans Image Process       Date:  2008-11       Impact factor: 10.856

4.  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

5.  Automatic preparation, calibration, and simulation of deformable objects.

Authors:  Dan Morris; Kenneth Salisbury
Journal:  Comput Methods Biomech Biomed Engin       Date:  2008-06       Impact factor: 1.763

6.  Determining the similarity of deformable shapes.

Authors:  R Basri; L Costa; D Geiger; D Jacobs
Journal:  Vision Res       Date:  1998-08       Impact factor: 1.886

7.  Motion Planning Under Uncertainty In Highly Deformable Environments.

Authors:  Sachin Patil; Jur van den; Berg Ron Alterovitz
Journal:  Robot Sci Syst       Date:  2011-06

8.  Optimizing Cubature for Efficient Integration of Subspace Deformations.

Authors:  Steven S An; Theodore Kim; Doug L James
Journal:  ACM Trans Graph       Date:  2009-12-01       Impact factor: 5.414

9.  Sensorless motion planning for medical needle insertion in deformable tissues.

Authors:  Ron Alterovitz; Kenneth Y Goldberg; Jean Pouliot; I-Chow Joe Hsu
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-12-31

10.  Acquisition and Neural Network Prediction of 3D Deformable Object Shape Using a Kinect and a Force-Torque Sensor.

Authors:  Bilal Tawbe; Ana-Maria Cretu
Journal:  Sensors (Basel)       Date:  2017-05-11       Impact factor: 3.576

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