Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands

被引:3
|
作者
Higashi, Kazuki [1 ]
Koyama, Keisuke [1 ]
Ozawa, Ryuta [2 ]
Nagata, Kazuyuki [3 ]
Wan, Weiwei [1 ,3 ]
Harada, Kensuke [1 ,3 ]
机构
[1] Osaka Univ, Grad Sch Engn Sci, 1-3 Machikaneyama Cho, Toyonaka, Osaka 5608531, Japan
[2] Meiji Univ, Sch Sci & Technol, Tokyo, Japan
[3] Natl Inst Adv Ind Sci & Technol, Tokyo, Japan
关键词
DESIGN;
D O I
10.1109/IROS45743.2020.9341766
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Synergy provides a practical approach for expressing various postures of a multi-fingered hand. However, a conventional synergy defined for reproducing grasping postures cannot perform in-hand manipulation, e.g., tasks that involve simultaneously grasping and manipulating an object. Locking the position of particular fingers of a multi-fingered hand is essential for in-hand manipulation tasks either to hold an object or to fix unnecessary fingers. When using conventional synergy based control to manipulate an object, which requires locking some fingers, the coordination of joints is heavily restricted, decreasing the dexterity of the hand. We propose a functionally divided manipulation synergy (FDMS) method, which provides a synergy-based control to achieves both dimensionality reduction and in-hand manipulation. In FDMS, first, we define the function of each finger of the hand as either "manipulation" or "fixed." Then, we apply synergy control only to the fingers having the manipulation function, so that dexterous manipulations can be realized with a few control inputs. Furthermore, we propose the Synergy Switching Framework as a method for applying a finely defined FDMS to sequential task changes. The effectiveness of our method is experimentally verified.
引用
收藏
页码:9190 / 9197
页数:8
相关论文
共 50 条
  • [1] Computation of grasping and manipulation for multi-fingered robotic hands
    Li, Zhe
    Li, Gongfa
    Jiang, Guozhang
    Fang, Yinfeng
    Ju, Zhaojie
    Liu, Honghai
    Journal of Computational and Theoretical Nanoscience, 2015, 12 (12) : 6192 - 6197
  • [2] Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review
    Yu, Chunmiao
    Wang, Peng
    FRONTIERS IN NEUROROBOTICS, 2022, 16
  • [3] Inverse Kinematics for Object Manipulation with Redundant Multi-fingered Robotic Hands
    Lippiello, Vincenzo
    Ruggiero, Fabio
    Villani, Luigi
    ROBOT MOTION AND CONTROL 2009, 2009, 396 : 255 - 264
  • [4] Inverse kinematics for object manipulation with redundant multi-fingered robotic hands
    PRISMA Lab, Dipartimento di Informatica e Sistemistica, Università di Napoli Federico II, Naples, Italy
    Lect. Notes Control Inf. Sci., 2009, (255-264):
  • [5] SYNTHESIS OF MULTI-FINGERED ROBOTIC HANDS
    Perez-Gracia, Alba
    PROCEEDINGS OF THE 1ST PAN-AMERICAN CONGRESS ON COMPUTATIONAL MECHANICS AND XI ARGENTINE CONGRESS ON COMPUTATIONAL MECHANICS, 2015, : 292 - 303
  • [6] Intelligent control of multi-fingered hands
    Arimoto, S
    ANNUAL REVIEWS IN CONTROL, 2004, 28 (01) : 75 - 85
  • [7] Grasping and Control of Multi-Fingered Hands
    Villani, Luigi
    Ficuciello, Fanny
    Lippiello, Vincenzo
    Palli, Gianluca
    Ruggiero, Fabio
    Siciliano, Bruno
    ADVANCED BIMANUAL MANIPULATION: RESULTS FROM THE DEXMART PROJECT, 2012, 80 : 219 - +
  • [8] Intelligent control of multi-fingered hands
    Arimoto, S
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2003, : XII - XVII
  • [9] Structural synthesis of multi-fingered hands
    Lee, JJ
    Tsai, LW
    JOURNAL OF MECHANICAL DESIGN, 2002, 124 (02) : 272 - 276
  • [10] Hybrid physics simulation of multi-fingered hands for dexterous in-hand manipulation
    Scharfe, Hanno
    Hendrich, Norman
    Zhang, Jianwei
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 3777 - 3783