Brain-controlled leader-follower robot formation based on model predictive control

Enhua Li*, Luzheng Bi, Weiming Chi

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Brain-controlled robots have been developed to help people with disabilities to improve their mobility. However, the existing studies on brain-controlled robots focus on a single brain-controlled robot. Under some task conditions, multiple robots can cooperate to perform tasks better. In this paper, we design a formation control of brain-controlled mobile robots based on a leader-follower model. We use a model predictive controller and a formation planner based on model predictive control to maintain the robot formation and ensure the safety of the robot formation. The experimental results show that the proposed control method enables users to control the robot formation safely through a brain-machine interface. This work opens a new research direction in the fields of robotics and brain-machine interface.

Original languageEnglish
Title of host publication2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-295
Number of pages6
ISBN (Electronic)9781728167947
DOIs
Publication statusPublished - Jul 2020
Event2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020 - Boston, United States
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2020-July

Conference

Conference2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Country/TerritoryUnited States
CityBoston
Period6/07/209/07/20

Keywords

  • Brain-computer interfaces
  • Formation control
  • Leader-follower model
  • Model predictive control

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