GRADUATION THESIS BACHELOR OF ENGINEERING IN INFORMATION TECHNOLOGY (HIGH-QUALITY PROGRAM)

Abstract

This thesis introduces a Convolutional neural network (CNN) based autonomous robot. The main focus is on building an autonomous robot and training it on a designed track with the help of a Convolutional Neural Network so that it can run autonomously without a controller. In this research, we used Lenet architecture to train the model and then control the Pioneer P3-DX Robot based on the prediction of this model. When the robot moves, it follows the line until the end and then turns back to the starting point. This research will be the background for the next generation students to develop more about the mobile robot.