Neuro-Robotic Unmanned Aerial Vehicle

Abstract

Since time immemorial, human beings are continually experimenting with novel ways to interact with the environment to achieve high data transfer by touch, speech and gestures. A technology called Electroencephalography (EEG) enabled direct communication between man and machine for the first time. Here brain signal activity links us with technology. This cutting edge technology is employed to enable real-time control of an Ariel Vehicle by using raw brain signal data. The present work entails design, fabrication, and real-time testing of a semi-autonomous brain controlled quadrotor UAV or more specifically a Drone directly controlled using thought power only. Brain computer interfacing was solely developed four decades ago for enhancing and developing neuroprosthetics, in modern times the invention of non-invasive Neuroheadset technology is has instigated various applications like control, automation and vehicular control. The real-time flight control system was executed by Arduino IDE on-board quadrotor UAV. The prototype was tested in actual flight tests. The results indicate BCI system has potential application for the control of quadrotor Drone, which in the long run used to improve life of paralyzed people by maximizing their independence and communication capabilities. Keywords— Arduino; Mind-Machine Interfaces; Quadcopter Drone; Neuroheadset; Fuzzy Proportional Derivative (FPD); Electroencephalograph.