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

Technical requirements

In this chapter, we will make use of the code located in the Chapter9_GoPiGo_SLAM folder (https://github.com/PacktPublishing/Hands-On-ROS-for-Robotics-Programming/tree/master/Chapter9_GoPiGo_SLAM). Copy its files to the ROS workspace so that they're available and leave the rest outside the src folder. This way, you will have a cleaner ROS environment:

$ cp -R ~/Hands-On-ROS-for-Robotics-Programming/Chapter9_GoPiGo_SLAM ~/catkin_ws/src/

The code in the aforementioned folder contains two new ROS packages, each one located within a folder that has the same name:

  • ydlidar, the officially supported ROS package for the selected LDS.
  • gopigo3_navigation, the top-level package for performing navigation with GoPiGo3.

You will use both on the laptop environment, but in the robot that is, the Raspberry Pi you will only need ydlidar since the...