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A compliant adaptive gripper and its intrinsic force sensing method

  • Harbin Institute of Technology Shenzhen
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

Grasping unstructured objects and sensing the contact force are two vital issues for grippers. However, it is still difficult for most existing grippers to realize these two functions simultaneously. In this article, we revise the traditional fin-ray finger by inserting a series of rigid nodes into the compliant structure and develop an adaptive two-finger gripper. This design linearizes the gripper's deformation-force relationship and enables an intrinsic force sensing ability without any tactile sensor. Experimental results show that the finger has high accuracy in sensing the external force applied at its middle part (average error less than 3%) but much larger errors appear near its two ends. Further experiments indicate that the gripper functions well in sensing the total grasping force (average error less than 8%). Although larger errors are observed in estimating the force distribution at each node, the variation tendency of the sensed force coincides well with the ground truth. Experiments are also carried out on grasping free-form objects and performing pick-and-place operations to further prove the gripper's adaptive grasping and intrinsic force sensing abilities.

Original languageEnglish
Pages (from-to)1584-1603
Number of pages20
JournalIEEE Transactions on Robotics
Volume37
Issue number5
DOIs
StatePublished - 1 Oct 2021
Externally publishedYes

Keywords

  • Adaptive grasping
  • Artificial neural network
  • Compliant gripper
  • Finite element method (FEM)
  • Force sensing
  • Improved fin-ray structure

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