Non-Invasive Brain-Actuated Control of a Mobile Robot
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1121-1125.
Abstract
Recent experiments have indicated the possibility to use the brain electrical activity to directly control the movement of robotics or prosthetic devices. In this paper we report results with a portable non-invasive brain-computer interface that makes possible the continuous control of a mobile robot in a house-like environment. The interface uses 8 surface electrodes to measure electroencephalogram (EEG) signals from which a statistical classifier recognizes 3 different mental states . Until now, brain-actuated control of robots has relied on invasive approachesrequiring surgical implantation of electrodessince EEG-based systems have been considered too slow for controlling rapid and complex sequences of movements. Here we show that, after a few days of training, two human subjects successfully moved a robot between several rooms by mental control only. Furthermore, mental control was only marginally worse than manual control on the same task.
@inproceedings{ijcai2003p160,
title = {Non-Invasive Brain-Actuated Control of a Mobile Robot},
author = {Millán, José del R. and Renkens, Frédéric and Mouriño, Josep and Gerstner, Wulfram},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1121--1125},
year = {2003},
url = {https://ijcai.org/proceedings/2003/160},
}
TY - CPAPER TI - Non-Invasive Brain-Actuated Control of a Mobile Robot AU - Millán, José del R. AU - Renkens, Frédéric AU - Mouriño, Josep AU - Gerstner, Wulfram T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1121 EP - 1125 UR - https://ijcai.org/proceedings/2003/160 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: