IMPLEMENTATION OF A BRAIN COMPUTER INTERFACE FOR THE END EFFECTOR OF A UR3 COLLABORATIVE ROBOT

Main Article Content

Edwin Diaz
https://orcid.org/0000-0003-3226-6260
Bryan Vega
https://orcid.org/0000-0003-0225-6459
Nayibe Chio
https://orcid.org/0000-0002-9459-4350
Johann Barragan
https://orcid.org/0000-0001-6114-6116
Eduardo Quiles

Abstract

Motor imagery in brain-computer interfaces has an important role in rehabilitating motor disorders and applying multiple technologies. However, it is a field of research that has a long way to go due to the large number of variables that can change the results of an experiment and the fact that EEG signals vary from one subject to another. Therefore, a brain-computer interface was implemented to control the end effector of a UR3 collaborative robot. The interface uses an Enobio 8, motor imagery for signal acquisition, MATLAB for command preprocessing, processing, translation, and dispatch, and ROS to enable communication between MATLAB and the UR3.

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How to Cite
Diaz, E. ., Vega, B. ., Chio, N., Barragan, J., & Quiles, E. . (2023). IMPLEMENTATION OF A BRAIN COMPUTER INTERFACE FOR THE END EFFECTOR OF A UR3 COLLABORATIVE ROBOT. I+ T+ C- Research, Technology and Science, 1(17). https://doi.org/10.57173/ritc.v1n17a4
Section
Research Papers

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