Assistive control of brain-control multiple robots

Weiming Chi, Ying Liu, Zhenge Yang, Luzheng Bi*

*Corresponding author for this work

Research output: Contribution to journalEditorial

1 Citation (Scopus)

Abstract

Brain-controlled robots have important application values in assisting persons with disabilities. However, few studies focus on brain-controlled multiple robots. This paper proposes an assistive controller based on model prediction with the leader-follower formation strategy for developing brain-controlled multiple robots. The controller is composed of a leader controller and a follower controller. The experimental results of brain-controlled multiple robots show that the proposed method can track the user's lateral and longitudinal control intention and maintain the stability of the multi-robot formation while ensuring the safety of brain-controlled multiple robots. This work can advance the research and development of brain-controlled multiple robots.

Original languageEnglish
Article number012004
JournalJournal of Physics: Conference Series
Volume2003
Issue number1
DOIs
Publication statusPublished - 27 Aug 2021
Event2021 International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2021 - Guilin, Virtual, China
Duration: 23 Jul 202125 Jul 2021

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