Some studies on different navigation techniques of mobile robot

Abstract

Now a day’s mobile robots are vastly used in many industries for performing different activities such as, manufacturing, security, automated transportation systems, material handling, warehouse management, packet distribution and arrangement ,and in working in accessible and dangerous sites ,etc. The goal of mobile robot is to reach a prescribed destination by using optimal path from all the paths available , and in least time, with certain precision and accuracy. To achieve this goal Navigation becomes one of the most important part for mobile robots. The problem of mobile robot navigation is very wide and complex. In the past years, there has been a tremendous progress in the area of autonomous robot navigation and a large variety of robots ,robot navigation algorithms have been developed who demonstrated robust navigation capabilities indoors and non-urban outdoor environments. In this thesis , we present simulation of different kind of navigation techniques for mobile robots designed to operate in static obstacles environments. We are using math works (MATLAB) software for simulation of navigation techniques . Problem of navigation of mobile robots can be sub divided into subparts i.e. mapping of environment ,localization of mobile robot in its environment, obstacle avoidance, path planning from present position to final (Goal) position. In this work we first describe the technique that is used to generate map of real world. After that we use object recognition technique in MATLAB ,to solve the localization problem of mobile robot.Then we describe and do simulation on different maps of real world environment and using different software, for four different kinds of navigation techniques which are most popular among mobile robots.