Controlling the robot using the brain signals

Author

Capi, Genci ; Takahashi, Toshihide ; Urushiyama, Kazunori ; Kawahara, Shigenori

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Toyama, Toyama, Japan

fYear

2009

fDate

Sept. 27 2009-Oct. 2 2009

Firstpage

781

Lastpage

785

Abstract

The goal of this work is to create a part mechanical, part biological robot that operates on the basis of the neural activity of rat brain cells. In our method, first the rat learns to move the robot by pressing the right and left lever in order to get food. Then, we utilize the data of multi-electrode recordings to train artificial neural networks, which are later employed to control the robot motion based on the brain activity of rats. The results show a good performance of artificial neural network controlling the real robot.

Keywords

brain; motion control; neurocontrollers; robots; artificial neural network training; brain signals; multielectrode recordings; neural activity; part biological robot; part mechanical robot; rat brain cells; robot motion control; Artificial neural networks; Communication system control; Control systems; Human robot interaction; Motion control; Neurons; Pressing; Rats; Robot control; Robot motion;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on

Conference_Location

Toyama

ISSN

1944-9445

Print_ISBN

978-1-4244-5081-7

Electronic_ISBN

1944-9445

Type

conf

DOI

10.1109/ROMAN.2009.5326236

Filename

5326236