Enabling grasp action: Generalized quality evaluation of grasp stability via contact stiffness from contact mechanics insight

Huixu Dong*, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I. Ming Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation approach of the quality of grasping stability via constructing a model of grasping stiffness based on the theory of contact mechanics. First, the mathematical models are built to explore “soft contact” and the general grasp stiffness between a finger and an object. Next, the grasping stiffness matrix is constructed to reflect the normal, tangential and torsion stiffness coefficients. Finally, we design two grasping cases to verify the proposed measurement criterion of the quality of grasping stability by comparing different grasping configurations. Specifically, a standard grasping index is used and compared with the minimum eigenvalue index of the constructed grasping stiffness we built. The comparison result reveals a similar tendency between them for measuring the quality of grasping stability and thus, validates the proposed approach.

Original languageEnglish
Pages (from-to)625-644
Number of pages20
JournalMechanism and Machine Theory
Volume134
Early online date18 Jan 2019
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Contact mechanics
  • Grasp quality
  • Grasp stability
  • Robotic gripper
  • Robotic modeling

Fingerprint

Dive into the research topics of 'Enabling grasp action: Generalized quality evaluation of grasp stability via contact stiffness from contact mechanics insight'. Together they form a unique fingerprint.

Cite this