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Abstract <p>This paper presents a cognitive architecture for controlling robotic agents via a brain–computer interface (BCI). Aimed at patients with motor and speech impairments, the system translates high-level user intentions, decoded from EEG (Electroencephalography) signals, into conflict-free navigation for a group of wheelchairs. Experiments confirm the feasibility of multi-agent control based on a single global command, without requiring direct human intervention.</p>

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Development of a Group Interaction Interface during Command Transmission via EEG Signal

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • S. M. Akopyan,
  • I. V. Brak,
  • G. A. Kiselev

摘要

Abstract

This paper presents a cognitive architecture for controlling robotic agents via a brain–computer interface (BCI). Aimed at patients with motor and speech impairments, the system translates high-level user intentions, decoded from EEG (Electroencephalography) signals, into conflict-free navigation for a group of wheelchairs. Experiments confirm the feasibility of multi-agent control based on a single global command, without requiring direct human intervention.