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

Customizing robot features using ROS parameters

ROS parameters store the global configuration of the robot. This is a convenient way in which to define your application so that you can abstract the functionality to a high level and make it available for the end user. We are going to illustrate how ROS parameters work by using a rqt plugin that allows for dynamically reconfiguring of some of them. It is as it sounds; you can modify robot characteristics on the fly:

  1. Launch raspicam_node and then the rqt plugins:
T1 $ roslaunch raspicam_node camerav2_410x308_30fps.launch
T2 $ rqt_image_view
T3 $ rosrun rqt_reconfigure rqt_reconfigure

Your desktop should show the following two windows:

  1. Check the parameters on the right-hand side and focus on the brightness (the box marked in red). Modify its value from 51 to 81 and then check the result:

Wow! You can dynamically modify the configuration...