Book Image

ROS Programming: Building Powerful Robots

By : Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph
Book Image

ROS Programming: Building Powerful Robots

By: Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph

Overview of this book

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. We'll go through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects
Table of Contents (37 chapters)
Title page
Copyright and Credits
Packt Upsell
Preface
Bibliography
Index

Summary


In this chapter, we mainly covered interfacing a DIY autonomous mobile robot to ROS and navigation package. We saw an introduction of this robot and the necessary components and connection diagrams of the same. We saw the robot firmware and how to flash it into the real robot. After flashing the firmware, we learned how to interface it to ROS and saw the Python nodes for interfacing the LaunchPad controller in the robot and the nodes for converting twist message to motor velocities and encoder ticks to odom and tf.

After discussing the interconnection of the Chefbot nodes, we covered the C++ port of some important nodes for odometry calculation and the base controller node. After discussing these nodes, we saw detailed configurations of the ROS Navigation stack. We also did gmapping. AMCL and came into detail description of each options in RViz for working with Navigation stack. We also covered the obstacle avoidance using the Navigation stack and worked with Chefbot simulation. We...