• DocumentCode
    250670
  • Title

    Characterization of grasp quality measures for evaluating robotic hands prehension

  • Author

    Leon, Beatriz ; Rubert, Carlos ; Sancho-Bru, Joaquin ; Morales, Aythami

  • Author_Institution
    Adaptive Syst. Res. Group, Univ. of Hertfordshire, Hatfield, UK
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    3688
  • Lastpage
    3693
  • Abstract
    Many analytical metrics have been proposed to evaluate the quality of a grasp based on different criteria and principles. To use most of them in practical real applications, some operational parameters need to be determined: maximum and minimum values, normalization ratios, quality thresholds, robustness in front of position errors and, more importantly, relations between alternative metrics. This paper proposes a methodology to study and characterize the operational parameters that allow the use of several metrics in practical applications, and comparing them. The proposed approach uses exhaustive simulation testing to obtains statically significant results regarding the measurements of several quality metrics. This allows an informed setting of the practical operational values for each metric. Results are provided for a Barrett hand grasping a varied set of objects.
  • Keywords
    manipulators; Barrett hand grasping; analytical metrics; exhaustive simulation testing; grasp quality measure characterization; grasp quality metrics; robotic hand prehension; Correlation; Joints; Robots; Sensitivity; Shape; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907393
  • Filename
    6907393