On computation of grasp internal forces for stably grasping multiple objects

被引:0
|
作者
Yu, Y [1 ]
Fukuda, K [1 ]
Tsujio, S [1 ]
机构
[1] Kagoshima Univ, Dept Mech Engn, Kagoshima 890, Japan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
When multiple objects are grasped by a multifingered hand, the feasible grasp finger forces are limited directionally because of the geometrical and frictional conditions on the contact parts among the objects. This paper proposes an approach for judging if a group of given fingertip positions is feasible and obtaining the graspable finger force region. In this paper, the generable contact force set for a contact part is discussed from the geometrical and frictional conditions of the part. Based on the contact force sets for all contact parts, an algorithm to obtain the set of the internal finger forces which can be generated actually is analyzed. Then an algorithm to obtain the set of the internal finger forces which can hold all objects fast and stably is addressed. Lastly, numerical examples and their experiments are performed to verify the effectiveness of the proposed approach.
引用
收藏
页码:1776 / 1781
页数:6
相关论文
共 50 条
  • [31] Computation of internal optical forces using the Helmholtz tensor
    Cui, Liyong
    Wang, Neng
    Ng, Jack
    PHYSICAL REVIEW A, 2021, 104 (01)
  • [32] Improved Method for Computation of Grasp Quality Metric Using Minimal Breaking Force on Objects
    Borwornpadungkitti, Mana
    Watcharawisetkul, Watcharapol
    Niparnan, Nattee
    Sudsang, Attawith
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, 2014, : 2197 - 2202
  • [33] Stable Robotic Grasping of Multiple Objects using Deep Neural Networks
    Kim, Dongeon
    Li, Ailing
    Lee, Jangmyung
    ROBOTICA, 2021, 39 (04) : 735 - 748
  • [34] Coordination of fingertip forces during precision grasping in multiple system atrophy
    Muratori, LM
    Reilmann, R
    Gordon, AM
    NEUROPSYCHOLOGIA, 2003, 41 (11) : 1498 - 1508
  • [35] Efficient push-grasping for multiple target objects in clutter environments
    Wu, Liangdong
    Chen, Yurou
    Li, Zhengwei
    Liu, Zhiyong
    FRONTIERS IN NEUROROBOTICS, 2023, 17
  • [36] Estimation of the Grasping Pose of Unknown Objects Based on Multiple Geometric Constraints
    Su J.
    Zhang Y.
    Fang L.
    Li Q.
    Wang S.
    Jiqiren/Robot, 2020, 42 (02): : 129 - 138
  • [37] A hand/arm controller that simultaneously regulates internal grasp forces and the impedance of contacts with the environment
    Muscio, G.
    Pierri, F.
    Trinkle, J.
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 895 - 900
  • [38] Contact force canonical decomposition and the role of internal forces in robust grasp planning problems
    Aicardi, M
    Casalino, G
    Cannata, G
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1996, 15 (04): : 351 - 364
  • [39] Grasping Strategy for Unknown Objects Based on Real-Time Grasp-Stability Evaluation Using Proximity Sensing
    Suzuki, Yosuke
    Yoshida, Ryoya
    Tsuji, Tokuo
    Nishimura, Toshihiro
    Watanabe, Tetsuyou
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04): : 8643 - 8650
  • [40] Learning Pre-Grasp Manipulation of Multiple Flat Target Objects in Clutter
    Wu, Liangdong
    Wu, Jiaxi
    Chen, Yurou
    Li, Zhengwei
    Liu, Zhiyong
    2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR, 2023, : 371 - 376