A novel 6-DOF force/torque sensor for COBOTs and its calibration method

Tan Phat Phan, Paul C.-P. Chao, Jia Jun Cai, Yu Jen Wang, Sheng Ching Wang, Kyle Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

This paper intends to design a 6-DOF force/torque sensor along with its readout circuit for collaborative robots (Cobots) working environment. There are two major technologies to develop by this paper. The first technology is the capability of sensing contact forces and torques by a newly-designed six degrees-of-freedom (DOF) force/torque sensor at a fast speed to facilitate feedback control towards anti-collision for the Cobots with wide measurement range, precision, with a smaller size and lower costs. For the force/torque sensor structure, the finite element method (FEM) is established. The sensor is designed and optimized based on finite element analysis (FEA) while 'maximum likelihood estimation (MLE)' is utilized to increase accuracy in estimation of force/torque by using appropriate statistical model. The second technology is the anti-collision control. If the collision occurs, the Cobot has an ability to response safely and instantaneously. The proposed control scheme and assisting 6-DOF sensor are capable of performing Cobots anti-collision in welding, grinding, polishing, assembling, etc. with high precision.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1228-1231
Number of pages4
ISBN (Electronic)9781538643426
DOIs
StatePublished - 13 Apr 2018
Event4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan
Duration: 13 Apr 201817 Apr 2018

Publication series

NameProceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Conference

Conference4th IEEE International Conference on Applied System Innovation, ICASI 2018
Country/TerritoryJapan
CityChiba
Period13/04/1817/04/18

Keywords

  • Anti-Collision
  • Collaborative Robots (Cobots)
  • Force/Torque Sensor
  • maximum likelihood estimation (MLE)

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