Modeling and analysis of 3D deformable object grasping

被引:0
|
作者
Lazher, Zaidi [1 ]
Belhassen-Chedli, Bouzgarrou [1 ]
Sabourin, Laurent [1 ]
Youcef, Mezouar [1 ]
机构
[1] Clermont Univ, Pascal Inst, CNRS, UMR 6602 UBP IFMA BP10448, F-63000 Clermont Ferrand, France
关键词
Grasping; deformable object; Mass-Spring System; force closure; contact model; grasp stability;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Robotic grasping has been extensively studied in the last two decades. Most of the researches in this field have been dedicated to rigid body grasping and only few of them have considered the case of deformable objects. Nevertheless, robotized grasping of deformable objects has many potential applications in various areas including bio-medical processing, food processing industry, service robotics, robotized surgery, etc. In this paper we address the problem of the grasping of 3D deformable object using a multi-fingered robotic hand. The deformable object behavior is modeled by using a non-linear isotropic mass-spring system. In order to deal with the interactions between the manipulated body and the robotic hand fingers, a contact model is proposed. It is based on force calculations between the hemispherical finger tips and each facet of the meshed contact surfaces. The initial fingers' configuration is defined so that a force closure grasping is obtained, which eliminates any relative Euclidean motion of the manipulated object, meanwhile, a grasping criterion is optimized. Several grasping criteria are evaluated along a pick and place operation on the deformable object.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Crowdsourcing the Construction of a 3D Object Recognition Database for Robotic Grasping
    Kent, David
    Behrooz, Morteza
    Chernova, Sonia
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 4526 - 4531
  • [22] Dynamic Modeling and Computer Simulation of 3D Objects Grasping
    Boughdiri, Rim
    Bezine, Hala
    M'Sirdi, Nacer K.
    Naamane, Aziz
    Alimi, Adel M.
    SOFT COMPUTING APPLICATIONS, 2013, 195 : 283 - 293
  • [23] RGB-D Camera based 3D Object Pose Estimation and Grasping
    Liang, Xiaoxiao
    Cheng, Hongtai
    2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1279 - 1284
  • [24] A Mathematical and Numerically Integrable Modeling of 3D Object Grasping under Rolling Contacts between Smooth Surfaces
    Arimoto, Suguru
    Yoshida, Morio
    MODELLING AND SIMULATION IN ENGINEERING, 2011, 2011
  • [25] Depth and Scale Modeling of Object for 3D Motion Analysis in Video
    Walia, Gurjit Singh
    Kapoor, Rajiv
    Singh, Satbir
    2013 IEEE SECOND INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP), 2013, : 90 - 95
  • [26] Static analysis of deformable object grasping based on bounded force closure
    Wakamatsu, H
    Hirai, S
    Iwata, K
    1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4, 1996, : 3324 - 3329
  • [27] 3D Object Modeling with a Kinect Camera
    Jaiswal, Mayoore
    Xie, Jun
    Sun, Ming-Ting
    2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
  • [28] 3D Elastic Deformable Object Model for Robot Manipulation Purposes
    Sahari, Khairul Salleh Mohamed
    Hou, Iew Cheong
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2014, 18 (03) : 375 - 382
  • [29] Learning Deformable Network for 3D Object Detection on Point Clouds
    Zhang, Wanyi
    Fu, Xiuhua
    Li, Wei
    MOBILE INFORMATION SYSTEMS, 2021, 2021
  • [30] A MECHANISM OF AUTOMATIC 3D OBJECT MODELING
    YUAN, XB
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (03) : 307 - 311