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

Case study 3 – remote control using the keyboard

This case study will help you complete the first version of the GoPiGo3 ROS package. In the previous chapter, you were dealing with the distance sensor and the Pi camera, and we devoted one case study to each of them.

By including the motion functionality with the present robot drives, you will have a robot that is able to perform basic interactions with its environment:

  • Perception capabilities include detecting obstacles with the distance sensor and visual recognition of the surroundings with the Pi camera.
  • Actuation capability, where the robot is able to move on the floor while being aware of the possible obstacles with the distance sensor and recognizing shapes and people with the image feed from its camera.

Case study 3 focuses on actuation capability. In this section, you will learn how to remotely move the robot using...