The Technology of Controlling Robots with the Power of Thought is Presented [VIDEO]

Engineers at the University of Technology Sydney have improved the brain-computer interface to such an extent that for the first time a human operator can mentally control a four-legged robot with 94% accuracy. It is assumed that the technology can be used, among other things, to control prostheses, wheelchairs and cars.

The researchers used graphene material combined with silicon to create wearable solid sensors. This approach solved the problems of corrosion, durability, and skin contact resistance that hindered the everyday use of existing technologies.

A sensor with a 3D micro-pattern reads the EEG signals from the brain and allows the operator to control the robot. Sensors are attached to the head area, and a display on the head shows the pattern the person needs to focus on in order to generate the necessary brainwaves. As part of the tests, the team used an eight-channel HPEG sensor array, which allowed them to control the robops with up to 94% accuracy.

Despite significant progress, the team still needs to work on several areas, such as determining hair density, applying the right amount of contact pressure, and the right area to glue the graphene sensors to get stable signal readings.