Teleoperation of an industrial manipulator through a TCP/IP channel using EEG signals

Andre Ferreira*, Teodiano Freire Bastos-Filho, Mario Sarcinelli-Filho, Fernando Auat Cheein, Jose F. Postigo, Ricardo Carelli

*Corresponding author for this work

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

21 Citations (Scopus)

Abstract

This paper presents an industrial manipulator teleoperated via TCP/IP using a Brain Computer Interface (BCI). Through a BCI based on Event Related Potentials (ERD and ERS), the operator is capable to select a position on the manipulator's workspace, that should be reached by the manipulator. A pose controller is executed on a remote PC and when new references are received, the controller calculates the necessary control actions so that the manipulator reaches the desired position. A bio-feedback link is closed through the operator watching to a visual interface, allowing him/her to visualize the manipulator's workspace and the movements being executed. Besides the application of the BCI, the paper also shows how versatile it is, stressing features like its easy integration with robotic devices, its low cost and the short training time it requires.

Original languageEnglish
Title of host publication2006 IEEE International Symposium on Industrial Electronics
PublisherIEEE
Pages3066-3071
Number of pages6
ISBN (Print)1424404967
DOIs
Publication statusPublished - 29 Jan 2007
EventInternational Symposium on Industrial Electronics 2006 - Montreal, Canada
Duration: 9 Jul 200613 Jul 2006

Conference

ConferenceInternational Symposium on Industrial Electronics 2006
Abbreviated titleISIE 2006
Country/TerritoryCanada
CityMontreal
Period9/07/0613/07/06

Keywords

  • Brain Computer Interfaces (BCI)
  • Robot control
  • TCP/IP communication
  • Teleoperation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Teleoperation of an industrial manipulator through a TCP/IP channel using EEG signals'. Together they form a unique fingerprint.

Cite this