Book Image

Hands-On ROS for Robotics Programming

By : Bernardo Ronquillo Japón
Book Image

Hands-On ROS for Robotics Programming

By: Bernardo Ronquillo Japón

Overview of this book

Connecting a physical robot to a robot simulation using the Robot Operating System (ROS) infrastructure is one of the most common challenges faced by ROS engineers. With this book, you'll learn how to simulate a robot in a virtual environment and achieve desired behavior in equivalent real-world scenarios. This book starts with an introduction to GoPiGo3 and the sensors and actuators with which it is equipped. You'll then work with GoPiGo3's digital twin by creating a 3D model from scratch and running a simulation in ROS using Gazebo. Next, the book will show you how to use GoPiGo3 to build and run an autonomous mobile robot that is aware of its surroundings. Finally, you'll find out how a robot can learn tasks that have not been programmed in the code but are acquired by observing its environment. You'll even cover topics such as deep learning and reinforcement learning. By the end of this robot programming book, you'll be well-versed with the basics of building specific-purpose applications in robotics and developing highly intelligent autonomous robots from scratch.
Table of Contents (19 chapters)
1
Section 1: Physical Robot Assembly and Testing
5
Section 2: Robot Simulation with Gazebo
8
Section 3: Autonomous Navigation Using SLAM
13
Section 4: Adaptive Robot Behavior Using Machine Learning

Robot Control and Simulation

In this chapter, you will set up your ROS development environment specifically for programming GoPiGo3. This understanding is going to be built by going from using the keys of your laptop keyboard to the more technical way of using ROS topics. Finally, you will guess what topics will allow you to wire manual keyboard/topic-based control to internal programming logic (that is, smart behavior) that will make the robot capable of executing autonomous tasks. In this sense, 3D simulation in Gazebo is an essential tool for testing behavior during development before pushing the app to the physical robot, saving time and effort when it comes to field-based work.

By the end of this chapter, you will have learned how to set up the ROS environment for a real robot. Remote control and autonomous control establish a qualitative difference in terms of robot software...