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Teleoperation of robots allows humans to reach inaccessible places such as water depths greater than 20 m., near volcanoes, mines. Etc. Today this action is carried out by physical electronic controls, such as levers, however much training is needed by humans to control these devices due to the complexity of operation. To teleoperate robots in a more natural way arises the idea of developing a classifier brainwave system, based on statistical data, send generated commands intentions of human movement, thus is intended to provide a way to control the movements robots in different and more understandable without much training by the operator environments. The work presented proposes an entire framework to carry out a remote control of a mobile robot using a classifier brainwave, obtaining movement commands; this is done through free technologies making it a robust, reliable and future tool available to those who require it. |
