A CRB-Embedded Joint Torque Sensor with Low Crosstalk Error

  • Seo Hyun Kim
  • , Ji Hun Meng
  • , Jae Bok Song*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collaborative robots need to estimate external forces applied to the end-effector or body to enable precise direct teaching and collision detection. For this purpose, many robots are equipped with Joint Torque Sensors (JTS), which estimate external forces at the robot's end by measuring the torque at each joint. Robot joints are subjected to complex loads, including moment, axial, and radial loads, in addition to torque loads due to the robot's movements and posture. Therefore, accurate torque measurement is crucial even under these conditions. Existing JTS designs use Cross-Roller Bearings (CRB) to support complex loads and minimize crosstalk errors. However, they are affected by vibrations, torque ripple, and assembly stress from the reducer's operation, and are limited to specific types of reducers. In this study, we developed a JTS with an embedded CRB to minimize crosstalk errors and withstand complex loads. The developed JTS can be used as an independent sensor, making it widely applicable to robots using various types of reducers.

Original languageEnglish
Title of host publication2024 24th International Conference on Control, Automation and Systems, ICCAS 2024
PublisherIEEE Computer Society
Pages1655-1659
Number of pages5
ISBN (Electronic)9788993215380
DOIs
Publication statusPublished - 2024
Event24th International Conference on Control, Automation and Systems, ICCAS 2024 - Jeju, Korea, Republic of
Duration: 2024 Oct 292024 Nov 1

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference24th International Conference on Control, Automation and Systems, ICCAS 2024
Country/TerritoryKorea, Republic of
CityJeju
Period24/10/2924/11/1

Bibliographical note

Publisher Copyright:
© 2024 ICROS.

Keywords

  • Crosstalk error
  • Joint torque sensors (JTS)
  • Strain gauge sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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