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BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
March 26, 2024, 4:42 a.m. | Jinhui Ouyang, Mingzhu Wu, Xinglin Li, Hanhui Deng, Di Wu
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent advances in EEG-based BCI technologies have revealed the potential of brain-to-robot collaboration through the integration of sensing, computing, communication, and control. In this paper, we present BRIEDGE as an end-to-end system for multi-brain to multi-robot interaction through an EEG-adaptive neural network and an encoding-decoding communication framework, as illustrated in Fig.1. As depicted, the edge mobile server or edge portable server will collect EEG data from the users and utilize the EEG-adaptive neural network to …
abstract advances arxiv bci brain collaboration communication computing control cs.ai cs.hc cs.lg cs.ro decoding edge edge ai eeg eess.sp encoding integration network neural network paper robot sensing technologies through type
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