Teleoperation of the SCHUNK S5FH under-actuated anthropomorphic hand using human hand motion tracking

被引:42
作者
Cerulo, Ilaria [1 ]
Ficuciello, Fanny [1 ]
Lippiello, Vincenzo [1 ]
Siciliano, Bruno [1 ]
机构
[1] Univ Napoli Fed II, Dipartimento Ingn Elettr & Tecnol Informaz, Via Claudio 21, I-80125 Naples, Italy
关键词
Hand fingers tracking; Telemanipulation; Postural synergies; MODEL; PARAMETERS; SYNERGIES; ROTATION; CENTERS; FINGERS;
D O I
10.1016/j.robot.2016.12.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the development of a remote handling control of an anthropomorphic robotic hand, the SCHUNK S5FH, using the human hand as master by measuring its motion with OptiTrack Technology. The goal of this work is to enhance manipulation studies on the human hand and to instantly transfer those studies on robotic hands. A preliminary study on methods and devices used for fingers tracking led to the choice of a simplified kinematic model of the human hand on the basis of the available motion tracking system. Using the same criteria, the analysis of protocols for markers allocation led to define the number and a method for their arrangement on the fingers and palm. In order to overcome the limitation of the Motion Capture System, a method for identification and labeling has been developed according to their anatomical arrangement. Afterwards, the tracking is performed using the constraints between marker positions on the kinematic chain of the hand and a dynamic labeling algorithm robust with respect to noise, outliers and loss of markers. The validation is performed using the right hand of different subjects and considering different tasks involving flexion/extension and abduction/adduction of fingers and thumb opposition. For testing and validation, preliminary studies on synergies for manipulation tasks such as screwing a cup, has been conducted on the human hand and transferred on the robotic hand. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:75 / 84
页数:10
相关论文
共 49 条
  • [41] Hand function: peripheral and central constraints on performance
    Schieber, MH
    Santello, M
    [J]. JOURNAL OF APPLIED PHYSIOLOGY, 2004, 96 (06) : 2293 - 2300
  • [42] Shadmehr R, 2012, COMPUT NEUROSCI-MIT, P1
  • [43] Stenger B, 2001, PROC CVPR IEEE, P310
  • [44] Model-based hand tracking using a hierarchical Bayesian filter
    Stenger, Bjorn
    Thayananthan, Arasanathan
    Torr, Philip H. S.
    Cipolla, Roberto
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (09) : 1372 - 1384
  • [45] Sturman David Joel, 1992, THESIS
  • [46] A SURVEY OF GLOVE-BASED INPUT
    STURMAN, DJ
    ZELTZER, D
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1994, 14 (01) : 30 - 39
  • [47] Tavakoli M, 2014, IEEE INT C INT ROBOT, P1629, DOI 10.1109/IROS.2014.6942773
  • [48] Robotics of human movements
    van der Smagt, Patrick
    Grebenstein, Markus
    Urbanek, Holger
    Fligge, Nadine
    Strohmayr, Michael
    Stillfried, Georg
    Parrish, Jonathon
    Gustus, Agneta
    [J]. JOURNAL OF PHYSIOLOGY-PARIS, 2009, 103 (3-5) : 119 - 132
  • [49] Determining finger segmental centers of rotation in flexion-extension based on surface marker measurement
    Zhang, XD
    Lee, SW
    Braido, P
    [J]. JOURNAL OF BIOMECHANICS, 2003, 36 (08) : 1097 - 1102