Book Image

Robot Operating System Cookbook

By : Kumar Bipin
Book Image

Robot Operating System Cookbook

By: Kumar Bipin

Overview of this book

This book will leverage the power of ROS with an introduction to its core and advanced concepts through exciting recipes. You will get acquainted with the use of different synchronous and asynchronous communication methods, including messages, services, and actions. You will learn how to use the various debugging and visualization tools used in development and how to interface sensors and actuators with the ROS framework. Firstly, you will get to grips with ROS simulation frameworks, such as Gazebo and RotorS for modeling and simulating any physical robot and virtual environment. You will also cover mobile robotics, micro-aerial vehicles, and robotic arms, which are the leading branches of robotic applications. Robot Operating System Cookbook will also guide you in the development of an autonomous navigation framework for both mobile robots and micro-aerial vehicles. Finally, you will explore ROS-Industrial, an open source project that extends the advanced capabilities of ROS software to manufacturing industries.
Table of Contents (12 chapters)

Introduction

In the previous chapters, we learned how to develop, move, and arm a robot in Gazebo, and mount a few sensors and actuators, as well as move and control them in the virtual world using a joystick or the keyboard. In this chapter, we will discuss one of the most powerful features in the ROS navigation stack, which will be equipped with a mobile robot to move autonomously.

First of all, we will learn how to configure the navigation stack with any mobile robot. Subsequently, we will also discuss how to configure and launch the navigation stack on the simulated robot and set configuration parameters to achieve the best results.

Finally, we will look at executing Simultaneous Localization and Mapping (SLAM) with ROS, which will build the map of the environment while a mobile robot moves through it. In addition, we will also discuss the Adaptive Monte Carlo Localization...