Human Brain Imbued Higher Brain Centre Activated Robot

Abstract

Brain Computer Interface (BCI) Systems give venue for human brain to communicate with an external device via a non-physiological path. It replaces the use of nerves and muscles of the human brain with a combination of hardware and software, which translates electrophysiological signals into physical actions. It differs from neuro-modulation in that it allows for bidirectional information flow. These are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory motor function. From initial demonstrations of electroencephalography-based spelling and single-neuron based device control, researchers have gone on to use electroencephalographic, intra-cortical, electro-corticographic and other brain signals for increasingly complex control of cursors, robotic arms, prosthetics, wheelchairs, and other devices related to rehabilitation engineering. Automated devices obviously can acquire intelligence and may also work similarly or differently to tackle wide range of tasks. But there is no automated robotic device available which is having enough intelligence to replicate itself. Generally the brain signal is received by electrodes placed on the scalp and is converted into programmed codes and then translated into commands that can control an output device, such as a spelling program, a motorized wheelchair, or a prosthetic limb. Feedback from the device can enable the user to modify their brain signals in order to maintain the performance of the automated device in a much more efficient manner. If those decoded codes (signals) coming from the subjects’ brain could be applied as inbuilt program of an artificial intelligence robot, then that robot might behave in a way as the subject with respect to his/her brain function. This paper has the objective to design and develop a higher brain centre activated robot that is still not available.