Title :
Unification of neural systems between human and humanoid robot
Author :
Choi, Bongjae ; Jo, Sungho
Author_Institution :
School of Computing, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, 305-701, South Korea
fDate :
May 31 2015-June 3 2015
Abstract :
This paper describes a novel cognitive neurobotics approach that makes it possible for a humanoid robot to perform one of several behaviors by reading the intentions of the user via brain signals. The biological neural system of a human generates brain signals during cognitive processes. An artificial neural system, part of our BCI system, translates the brain signal into the intentions of the user. Another artificial neural system of a humanoid robot controls its behavior based on visual perception and the user´s intention. Furthermore, we designed a robotic experiment to investigate our approach. Experimental results demonstrate that the unification of neural systems enables the robot to connect with the biological neural system of a user.
Keywords :
Brain modeling; Electroencephalography; Humanoid robots; Robot sensing systems; Training;
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
DOI :
10.1109/ASCC.2015.7244732