Minimalist artificial eye for autonomous robots and path planning

Abstract

The visual tracking is a feature of great importance for an artificial autonomous system that interfaces with the environment. It is also an open research problem of great activity in the field of computer vision. In this paper a minimalist tracking system for autonomous robots, designed primarily for navigation tasks, is proposed. The concept of minimalism translates into a processing system of very low range, but still, developing identification and tracking in real time. The proposed scheme is evaluated experimentally with a basic tracking task in which the system identifies a geometric mark on the environment, calculate its three-dimensional position and coordinates the movement of the eye in order to reduce the distance to the target and improve its focus.