Design of a novel six-dimensional force/torque sensor and its calibration based on NN

Qiao Kang Liang, Quan Jun Song, Dan Zhang, Yun Jian Ge, Guang Bin Zhang, Hui Bin Cao, Yu Ge

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper describes the design of a six-axis force/torque sensor, the purpose of which is to provide decoupled and accurate F/T information for the closed-loop control of the manipulator system. Firstly, the manipulator system and the adopted measuring principle are introduced. Then, a novel static component based on dual annulus diaphragms is presented. At last, the calibration and decoupling test based on Neural Network (NN) is carried out. The results of calibration test show superiority of the structure of the elastic component of the developed sensor and the improvement of the calibration method.

Original languageEnglish
Title of host publicationAdvanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Proceedings
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event6th International Conference on Intelligent Computing, ICIC 2010 - Changsha, China
Duration: 18 Aug 201021 Aug 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6215 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Intelligent Computing, ICIC 2010
Country/TerritoryChina
CityChangsha
Period18/08/1021/08/10

Keywords

  • calibration
  • dexterous manipulation
  • elastic component
  • F/T sensor
  • Neural Network

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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