A Robotic Neural Net Based Visual-sensory Motor Control System that Reverse Engineers the Motor Control Functions of the Human Brain

The design of the neural net based visual-robotic controller, controlling a tactile "itch-scratch" robotic sensory motor control system is presented. The "itch-scratch" robotic motor control system is described in referenced and linked publications. The design of the visual-robotic system is obtained by adding an obstacle avoiding visual system to the sensory motor control functions of the tactile "itch-scratch" robotic system. The visual-robotic controller is unique in that the coordinate frame in which the robot is operating, determined by the optical visual sensors, is reflected onto a neural network located within the robotic controller. The associated visual and tactile sensory motor control systems within the controller may lead to insight into the biological pathways in the brain for 3D-optical imaging and sensory motor control with feedback from the somatic body sensors.