ROBOG Autonomously Navigating Outdoor Robo-Guide

Kranthi Kumar Rachavarapu, Irfan Feroz Gramoni Mohammed, Chakravarthi Jada, Harish Yenala, Anil Kumar Vadathya

Abstract: ROBOG: The Robo-Guide is an autonomously navigating vehicle capable of learning the navigational directions of a locality by using Artificial Neural Networks. The main task of ROBOG is to guide people from one location to any other location in a trained region. The prime feature of ROBOG is its simplicity of implementation and working. The map information is learned by Artificial Neural Network using the proposed concept of branch and node. The Multi-Layered Perceptron is trained using the standard Error Back Propagation Algorithm. Road Detection & Tracking and Destination Identification are employed to achieve autonomous navigation. All the Image Processing techniques used are computationally inexpensive. The ROBOG is tested successfully in the outdoor environment for autonomous navigation and due to the simplicity in implementation it can be easily trained for any region.