Variable Admittance Control of Robot Manipulators Based on Human Intention

Gitae Kang, Hyun Seok Oh, Joon Kyue Seo, Uikyum Kim, Hyouk Ryeol Choi

Research output: Contribution to journalArticlepeer-review

112 Scopus citations

Abstract

This paper presents a variable admittance control method to achieve intuitive human-robot interactions that consider human intentions. Human intention is classified into two categories-direct and indirect. With respect to direct intention, the concept of standard force is introduced to adjust the interacting force. The proposed variable admittance control method improves intuitiveness when velocity is used as an estimate of direct intention. In the estimation of indirect intention, a force guidance method is suggested to make a robot follow and guide a human. The proposed control methodology is adapted to a six-DOF manipulator based on a one-dimensional analysis. The experiments are conducted with a manipulator (Universal Robots, UR10) and a force/torque sensor (Robotus, RFT60-HA) to evaluate the performance. The experiments validate that variable admittance control enhances the execution time, accuracy, and comfort of the operator.

Original languageEnglish
Article number8685113
Pages (from-to)1023-1032
Number of pages10
JournalIEEE/ASME Transactions on Mechatronics
Volume24
Issue number3
DOIs
StatePublished - Jun 2019

Keywords

  • Admittance control
  • human intention
  • physical human-robot interaction
  • variable admittance

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