Towards a Brain‑Computer Interface Framework for Multi‑Party Robot Applications

Abstract

Presents a closed‑loop architecture enabling multiple users to control and interact with robotic systems via EEG signals using the Neurosity SDK. Explores intent inference and arbitration strategies.

Architecture

• Signal acquisition and preprocessing.
• Multi‑user intent modeling and conflict resolution.
• Robot policy adaptation with feedback loop.

Results

• Demonstrated feasibility of multi‑party BCI coordination.
• Outlined performance considerations and limitations.

Publication

Published at ACMSE 2024. Contact for manuscript or slides.