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


After designing the robot, the next phase is its simulation. There are a lot of uses in simulation. We can validate a robot design, and at the same time, we can work with a robot without having its real hardware. There are some situations when we need to work without having a robot hardware. Simulators are useful in all these situations.

In this chapter, we were trying to simulate two robots, one was a robotic arm with seven DOF and the other was a differential wheeled mobile robot. We started with the robotic arm, and discussed the additional Gazebo tags needed to launch the robot in Gazebo. We discussed how to add a 3D vision sensor to the simulation. Later, we created a launch file to start Gazebo with a robotic arm and discussed how to add controllers to each joint. We added the controllers and worked with each joint.

Similar to the robotic arm, we created the URDF for Gazebo simulation and added the necessary Gazebo ROS plugin for the laser scanner and differential drive mechanism...