Acquiring Brain Signals of Imagining Humanoid Robot Walking Behavior via Cerebot
Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects’ concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms.
KeywordsMind control Humanoid robot Robot walking behavior Brainwaves Phase coding
We would like to thank Dr. Meifang Ma from Blackrock Microsystems for his help in conducting the experiments.
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