Implementation of an autonomous path planning & obstacle avoidance UGV using SLAM

Conceptual wise the word “Autonomous” associated with a machine means “a system that works without any intervention of human being” hence in today's era majority of the jobs are replaced by robots for performing numerous tasks i e manipulating objects from one place to another, path covering with detection of safe paths and wielding etc. These are the tasks which require maximum attention, accuracy and must have health/safety measurements hence in coming future one may see the availability of robots performing domestic as well as industrial tasks more than humans in various fields. Keeping this in view this research paper suggests an implementation of an autonomous path planning and obstacle avoidance robot using simultaneous mapping and localization SLAM algorithm. This paper may not only provide the study about the most frequent problems which are how to locate an Unmanned Ground Vehicle UGV and how to keep UGV on its path but in addition to this, it also suggests the incorporation of GPS module with SLAM based UGV for further coordination. After going through this paper one can understand the implementation of SLAM algorithm, how to create maps for path planning and last but not the least localization of obstacles.