• DocumentCode
    117619
  • Title

    Grasp quality metrics for robot hands benchmarking

  • Author

    Rubert, Carlos ; Leon, Beatriz ; Morales, Antonio

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. Jaume I, Castellón, Spain
  • fYear
    2014
  • fDate
    18-20 Nov. 2014
  • Firstpage
    761
  • Lastpage
    766
  • Abstract
    This paper addresses the problem of evaluating the grasping capabilities of a robot hand. The purpose of such evaluation is to provide numerical results that enable the comparison of different aspects of robot hand designs which can lead to improve their performance. The methodology proposed in this paper consists of computing an exhaustive amount of grasp configurations for each robot hand over a wide variety of objects on a simulation environment. These grasps are evaluated through a set of six selected grasp metrics. Three hand models are compared to test the suitability of the methodology.
  • Keywords
    humanoid robots; manipulators; grasp configurations; grasp quality metrics; grasping capabilities; robot hand designs; robot hands benchmarking; Computational modeling; Grasping; Joints; Measurement; Robots; Standards; Synchronous digital hierarchy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/HUMANOIDS.2014.7041449
  • Filename
    7041449