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README.md

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 # RosBot (An Autonomous Navigation Ambition Project)
 
-As autonomous driving is rapidly becoming the next major challenge in the automotive industry, the problem of Simultaneous Localization and Mapping (SLAM) has never been more relevant than it is today. This project presents the idea of examining SLAM algorithms by implementing such an algorithm on a custom bot which has been fitted with sensors and microcontrollers. The software architecture of this small-scale vehicle is based on the Robot Operating System (ROS), an open-source framework designed to be used in robotic applications.
+Autonomous driving is the current hot topic in automotive industry. The utilization of Simultaneous Localization and Mapping (SLAM) is commonly found in autonomous navigation, the problem of SLAM has never been more significant than it is today. This project presents the idea of examining SLAM algorithms by implementing such an algorithm on a custom bot which has been fitted with sensors and microcontrollers. The software architecture is based on the Robot Operating System (ROS), an open-source framework designed to be used in robotic applications.
 
-This Project covers, the examining of these algorithms in both simulations, and real-world experiments. The method used in this project is more related to v-development cycle, meaning that a near model of the vehicle is first implemented in simulations using each algorithm and followed by real world experiment. The comparative analysis is performed next.
+This Project covers, the examining of these algorithms in both simulations, and real-world experiments. The method used in this project is more related to v-development cycle, meaning that a near model of the vehicle is first implemented in simulations using each algorithm and followed by real world experiment.
 
-This project has resulted in a dynamic model of a small-scale vehicle which can be used for simulation of any ROS-compliant SLAM-algorithm, and this model has been simulated extensively in order to provide empirical evidence to define which SLAM algorithm is most suitable for this application.
+This project has brought about a dynamic model of a small-scale bot which can be utilized for recreation of any ROS-compliant SLAM-algorithm, and this model has been used to compare diffrent SLAM algorithm with diffrent scenarios.
 
 **_This Repository contains launch files for Gmapping, Hector Map and Rtab Map.
 Please navigate through the readme files to know more about simulation and real-time implementation in respective folders_**