Hands-On ROS for Robotics Programming: Program highly autonomous and AI-capable mobile robots powered by ROS

Book Description
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.

What you will learn
Get to grips with developing environment-aware robots
Gain insights into how your robots will react in physical environments
Break down a desired behavior into a chain of robot actions
Relate data from sensors with context to produce adaptive responses
Apply reinforcement learning to allow your robot to learn by trial and error
Implement deep learning to enable your robot to recognize its surroundings
Who this book is for
If you are an engineer looking to build AI-powered robots using the ROS framework, this book is for you. Robotics enthusiasts and hobbyists who want to develop their own ROS robotics projects will also find this book useful. Knowledge of Python and/or C++ programming and familiarity with single board computers such as Raspberry Pi is necessary to get the most out of this book.

Table of Contents
Assembling the Robot
Unit testing of GoPiGo3
Getting started with ROS
Creating the virtual two wheeled ROS robot
Simulating the robot behavior in a virtual environment with Gazebo
Programming in ROS: Commands and tools
Robot control and simulation
Virtual SLAM and navigation using Gazebo
SLAM for robot navigation
Applying Machine Learning in Robotics
Machine Learning with OpenAI Gym on ROS
Achieve a goal through Reinforcement Learning